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Signal Processing - 14 Bilinear Transform - Explained
 
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The bilinear transform is a method of converting an analog filter into a digital filter. It is often confusing and the reasoning behind it is not understood. This video attempts to explain the bilinear transform simply. Further readings: Eulers Formula https://betterexplained.com/articles/easy-trig-identities-with-eulers-formula/ Taylor Series Approximation https://en.wikipedia.org/wiki/Taylor_series
Views: 9983 Luke Berry
What Is Image Processing? – Vision Campus
 
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Image processing - it is one of the most common terms in vision technology, yet not everybody knows what it exactly means. In this Vision Campus video our expert Thies Moeller will elaborate the term image processing, talk about the difference between image processing and preprocessing and discuss the role of software. He will also give examples of the impact that image processing has on different applications, like bottle inspection, cookie inspection or Automatic Number Plate Recognition (ANPR). What is image processing? 00:08 Introduction 00:28 Preprocessing 00:55 Calibration 01:41 Matching 02:06 Cookie inspection 02:30 Edge-detection 03:05 Bottle inspection 03:26 Automatic Number Plate Recognition (ANPR) More from the Vision Campus: What is image quality? https://www.youtube.com/watch?v=FJwhHFM0oDo How does a digital industrial camera work?: https://www.youtube.com/watch?v=HnAzL38pXeI What is a vision system?: https://www.youtube.com/watch?v=atoUpGgw2fE Have a look at http://www.vision-campus.com to find all of our exciting videos and articles about vision technology. Just make sure you stop by! SUBSCRIBE NOW FOR OTHER VIDEOS AND NEWS! http://www.youtube.com/subscription_center?add_user=baslerag LET'S CONNECT! Vision Campus ► http://www.vision-campus.com Google+ ► https://plus.google.com/+BaslerAG-Ahrensburg Facebook ► https://www.facebook.com/BaslerAG Twitter ► https://twitter.com/Basler_AG LinkedIn ► https://www.linkedin.com/company/basler-ag
Views: 75897 Basler AG
What Is Image Quality? – Vision Campus
 
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When assessing the image quality of different cameras, you will come across terms like sensor and pixel size, noise, signal to noise ratio, dynamic range, quantum efficiency, resolution, and the like. Perhaps you compare all these values in the cameras’ EMVA1288 datasheets, but how can you tell what value would lead to better image quality in precisely your application? In the latest Vision Campus (http://www.vision-campus.com) video our expert Thies Moeller explains how image quality can be defined and how you can evaluate the image quality of different cameras. In most cases, an amateur photographer would define the term “image quality” differently than a vision system operator. While an amateur might find an image good as long as it’s sufficiently bright and sharp, a vision system expert will most certainly think twice about the image quality his system delivers. Practical examples help make the complex issue of image quality in a vision system a comprehensible and easy-to-understand topic. What is image quality? 0:10 Introduction 00:43 EMVA1288 01:37 Quantum efficiency (QE) 02:52 Sensor sizes 03:00 Number of pixels 03:49 Pixel sizes 03:54 Example: Pixel collecting photons 05:13 Dynamic range 05:28 Example: Dynamic range - correct bright and dark image details 05:38 Example: Dynamic range - traffic camera 06:05 Image noise 06:16 Signal to noise ratio (SNR) 06:25 Example: SNR - Good and bad music signal 07:09 CMOS sensor technology 07:52 Example: Sharpness and contrast - Barcode reading 08:06 Assess two or more different cameras 08:25 Comparable conditions 09:20 Conclusion and key criteria MORE FROM THE VISION CAMPUS: What is an interface: https://www.youtube.com/watch?v=VLFTb... How does a digital industrial camera work: https://www.youtube.com/watch?v=HnAzL... What is a vision system: https://www.youtube.com/watch?v=atoUp... Have a look at http://www.vision-campus.com to find all of our exciting videos and articles about vision technology. Just make sure you stop by! SUBSCRIBE NOW FOR OTHER VIDEOS AND NEWS! http://www.youtube.com/subscription_c... LET'S CONNECT! Basler Website ► http://www.baslerweb.com Vision Campus ► http://www.vision-campus.com Google+ ► https://plus.google.com/+BaslerAG-Ahrensburg Facebook ► https://www.facebook.com/BaslerAG Twitter ► https://twitter.com/Basler_AG LinkedIn ► https://www.linkedin.com/company/basler-ag
Views: 14411 Basler AG
MUSICAL: Multiple Signal Classification Algorithm for super-resolution fluorescence microscopy
 
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This video introduces MUSICAL, a method for super-resolution fluorescence microscopy proposed in 2016 (http://www.nature.com/articles/ncomms13752). Single molecule localization techniques are restricted by long acquisition and computational times, or the need of special fluorophores or biologically toxic photochemical environments. In contrast, MUSICAL provides resolution down to at least 50 nm, requires less frames and lower excitation power, and works even at high fluorophore concentrations. Further, it works with any fluorophore that exhibits blinking on the time scale of the recording.
Views: 2275 Krishna Agarwal
Weber´s Law (Sensory Processing): Proportion & Examples – Sensing the Environment | Lecturio
 
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This video “Weber´s Law (Sensory Processing): Proportion & Examples” is part of the Lecturio course “Sensing the Environment” ► WATCH the complete course on http://lectur.io/weberslaw ► LEARN ABOUT: - Proportion by sense for humans - Weber’s law equation - Example of weber’s law ► THE PROF: Dr. Tarry Ahuja is currently a senior medical real-world evidence scientist for a major pharmaceutical company and a lecturer at Carleton University, Canada. He has worked in the hospital setting and National Research Council of Canada for over 10 years. ► LECTURIO is your single-point resource for medical school: Study for your classes, USMLE Step 1, USMLE Step 2, MCAT or MBBS with video lectures by world-class professors, recall & USMLE-style questions and textbook articles. Create your free account now: http://lectur.io/weberslaw ► INSTALL our free Lecturio app iTunes Store: https://app.adjust.com/z21zrf Play Store: https://app.adjust.com/b01fak ► READ TEXTBOOK ARTICLES related to this video: The Sensory Systems of the Human Body http://lectur.io/sensorysystemsarticle ► SUBSCRIBE to our YouTube channel: http://lectur.io/subscribe ► WATCH MORE ON YOUTUBE: http://lectur.io/playlists ► LET’S CONNECT: • Facebook: https://www.facebook.com/lecturio.medical.education.videos • Instagram: https://www.instagram.com/lecturio_medical_videos • Twitter: https://twitter.com/LecturioMed
How Digital Cameras Process Images
 
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Today we're talking about how digital cameras convert raw images into natural-looking pictures. It's natural to think that what we see on a display is what the camera actually sees right at the sensor. That's not really the case. Several steps of processing need to be done before it looks natural to us. Video Highlights: 📌 Color Filter Array, Bayer Filter, Demosaicing 📌 White Balance, Gray World Algorithm, Color Correction Matrix 📌 Gamma Correction, Weber's Law 📌 Image Denoising 📌 Camera Pipeline 📌 Computational Photography 📌 Machine Learning Recommended Videos: 📌 Capturing Digital Images (The Bayer Filter) - Computerphile https://youtu.be/LWxu4rkZBLw 📌 Computer Color is Broken - minutephysics https://youtu.be/LKnqECcg6Gw 📌 Lectures on Digital Photography - Marc Levoy https://www.youtube.com/playlist?list=PL7ddpXYvFXspUN0N-gObF1GXoCA-DA-7i Recommended Wikipedia Articles: 📌 https://en.wikipedia.org/wiki/Demosaicing 📌 https://en.wikipedia.org/wiki/Gamma_correction 📌 https://en.wikipedia.org/wiki/Weber-Fechner_law 📌 https://en.wikipedia.org/wiki/Bilateral_filter 📌 https://en.wikipedia.org/wiki/Gaussian_blur 📌 https://en.wikipedia.org/wiki/Non-local_means 📌 https://en.wikipedia.org/wiki/Block-matching_and_3D_filtering 📌 https://en.wikipedia.org/wiki/High-dynamic-range_imaging Recommended Papers: 📌 Burst photography for high dynamic range and low-light imaging on mobile cameras http://www.hdrplusdata.org/hdrplus.pdf 📌 Deep Bilateral Learning for Real-Time Image Enhancement https://groups.csail.mit.edu/graphics/hdrnet/data/hdrnet.pdf 📌 Learning to See in the Dark http://vladlen.info/papers/learning-to-see-in-the-dark.pdf 📌 FlexISP: A Flexible Camera Image Processing Framework http://research.nvidia.com/sites/default/files/pubs/2014-12_FlexISP-A-Flexible/FlexISP.pdf 📌 Deep Joint Demosaicking and Denoising https://groups.csail.mit.edu/graphics/demosaicnet/ 📌 DeepISP: Learning End-to-End Image Processing Pipeline https://arxiv.org/pdf/1801.06724.pdf #digitalcamera #camera #imageprocessing #color #filter
Views: 1319 Leo Isikdogan
Understanding SNR Part 1 - What are signal and noise?
 
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The first part of a multi-part series on SNR, Signal to Noise Ratio, in astrophotography. In this, we discuss what signal and noise are, how we might assess them in our images, why we evaluate the quality of an image as a ratio between the two, and why the SNR matters to our ability to produce the image we want from the data we have. Images from the video may be found at http://imgur.com/a/hUdnV for reference if desired. Craig Stark's articles on SNR (along with dozens of other great papers and articles) may be found at http://www.stark-labs.com/craig/articles/articles.html
Views: 12869 Eor Equis
[GAN by Hung-yi Lee]Part 2: The application of GAN to speech and text processing
 
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Generative Adversarial Network and its Applications on Speech and Natural Language Processing, Part 2. 발표자: Hung-yi Lee(국립 타이완대 교수) https://tv.naver.com/naverd2 더욱 다양한 영상을 보시려면 NAVER Engineering TV를 참고하세요. 발표일: 2018.7. Generative adversarial network (GAN) is a new idea for training models, in which a generator and a discriminator compete against each other to improve the generation quality. Recently, GAN has shown amazing results in image generation, and a large amount and a wide variety of new ideas, techniques, and applications have been developed based on it. Although there are only few successful cases, GAN has great potential to be applied to text and speech generations to overcome limitations in the conventional methods. In the first part of the talk, I will first give an introduction of GAN and provide a thorough review about this technology. In the second part, I will focus on the applications of GAN to speech and natural language processing. I will demonstrate the applications of GAN on voice I will also talk about the research directions towards unsupervised speech recognition by GAN.conversion, unsupervised abstractive summarization and sentiment controllable chat-bot. 발표 슬라이드: https://www.slideshare.net/NaverEngineering/gan-by-hungyi-leepart-2-the-application-of-gan-to-speech-and-text-processing
Views: 676 naver d2
Signal (electronics) | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Signal 00:03:23 1 Definitions 00:05:47 2 Analog and digital signals 00:06:17 2.1 Analog signal 00:08:21 2.2 Digital signal 00:10:14 2.3 Time discretization 00:11:39 2.4 Amplitude quantization 00:12:17 3 Examples of signals 00:15:58 4 Signal processing 00:16:54 5 Signals and systems 00:21:06 6 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.8586788747483308 Voice name: en-AU-Wavenet-A "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= In communication systems, signal processing, and electrical engineering, a signal is a function that "conveys information about the behavior or attributes of some phenomenon". A signal may also be defined as an "observable change in a quantifiable entity". In the physical world, any quantity exhibiting variation in time or variation in space (such as an image) is potentially a signal that might provide information on the status of a physical system, or convey a message between observers, among other possibilities. The IEEE Transactions on Signal Processing states that the term "signal" includes audio, video, speech, image, communication, geophysical, sonar, radar, medical and musical signals. In a later effort of redefining a signal, anything that is only a function of space, such as an image, is excluded from the category of signals. Also, it is stated that a signal may or may not contain any information. In nature, signals can take the form of any action by one organism able to be perceived by other organisms, ranging from the release of chemicals by plants to alert nearby plants of the same type of a predator, to sounds or motions made by animals to alert other animals of the presence of danger or of food. Signaling occurs in organisms all the way down to the cellular level, with cell signaling. Signaling theory, in evolutionary biology, proposes that a substantial driver for evolution is the ability for animals to communicate with each other by developing ways of signaling. In human engineering, signals are typically provided by a sensor, and often the original form of a signal is converted to another form of energy using a transducer. For example, a microphone converts an acoustic signal to a voltage waveform, and a speaker does the reverse.The formal study of the information content of signals is the field of information theory. The information in a signal is usually accompanied by noise. The term noise usually means an undesirable random disturbance, but is often extended to include unwanted signals conflicting with the desired signal (such as crosstalk). The prevention of noise is covered in part under the heading of signal integrity. The separation of desired signals from a background is the field of signal recovery, one branch of which is estimation theory, a probabilistic approach to suppressing random disturbances. Engineering disciplines such as electrical engineering have led the way in the design, study, and implementation of systems involving transmission, storage, and manipulation of information. In the latter half of the 20th century, electrical engineering itself separated into several disciplines, specialising in the design and analysis of systems that manipulate physical signals; electronic engineering and computer engineering as examples; while design engineering developed to deal with functional design of user–machine interfaces.
Views: 0 wikipedia tts
Signal & Image Processing : An International Journal (SIPIJ)
 
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Signal & Image Processing : An International Journal (SIPIJ) http://www.airccse.org/journal/sipij/index.html ISSN : 0976 - 710X (Online) ; 2229 - 3922 (print) ******************************************************************* Scope & Topics ============== Signal & Image Processing : An International Journal is intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing. Topics of interest include, but are not limited to, the following: * Applied Digital Signal Processing * Coding and Transmission * Digital Signal Processing in Communications * Emerging Technologies * Emerging Technologies in Digital Signal Processing * Image & Signal Processing Applications * Image Acquisition and Display: * Image and Video Processing & Analysis * Image Formation * Image Scanning, Display and Printing * Storage and Retrieval Paper Submission ================ Authors are invited to submit papers for this journal through E-mail : [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Important Dates: =============== Submission Deadline : September 09, 2017 Acceptance Notification : October 10, 2017 Final Manuscript Due : October 18, 2017 Publication Date : Determined by the Editor-in-Chief For other details please visit http://www.airccse.org/journal/sipij/index.html
Views: 13 SIPIJ Journal
Signal & Image Processing: An International Journal (SIPIJ)
 
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Signal & Image Processing: An International Journal (SIPIJ) ISSN: 0976 – 710X [Online]; 2229 - 3922 [Print] http://www.airccse.org/journal/sipij/index.html Scope & Topics Signal & Image Processing: An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing. Topics of interest include, but are not limited to, the following • Applied Digital Signal Processing • Coding and Transmission • Digital Signal Processing in Communications • Emerging technologies • Emerging Technologies in Digital Signal Processing • Image & signal processing Applications • Image Acquisition and Display • Image and Video Processing & Analysis • Image formation • Image scanning, display, and printing • Storage and Retrieval Paper submission Authors are invited to submit papers for this journal through journal Submission System or via e-mail: [email protected] or [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
Views: 5 SIPIJ Journal
Audio Dither Explained
 
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This video explains dithering in digital audio—what it is, and why we use it. Additional articles on dither, including examples, are available at earlevel.com: http://www.earlevel.com/main/category/digital-audio/dither-digital-audio/ Please visit EarLevel Engineering at http://earlevel.com for more tutorials on digital audio signal processing and sound synthesis.
Views: 53209 Nigel Redmon
Signal & Image Processing : An International Journal (SIPIJ)
 
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Signal & Image Processing : An International Journal (SIPIJ) http://www.airccse.org/journal/sipij/index.html ISSN : 0976 - 710X (Online) ; 2229 - 3922 (print) Scope & Topics Signal & Image Processing : An International Journal is intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing. Topics of interest include, but are not limited to, the following: • Applied Digital Signal Processing • Coding and Transmission • Digital Signal Processing in Communications • Emerging technologies • Emerging Technologies in Digital Signal Processing • Image & signal processing Applications • Image Acquisition and Display: • Image and Video Processing & Analysis • Image formation • Image scanning, display, and printing • Storage and Retrieval Paper Submission Authors are invited to submit papers for this journal through E-mail : [email protected] . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://www.airccse.org/journal/sipij/index.html
Views: 12 SIPIJ Journal
Signal & Image Processing : An International Journal (SIPIJ)
 
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http://www.airccse.org/journal/sipij/index.html ISSN : 0976 - 710X (Online) ; 2229 - 3922 (print) ******************************************************************* Scope & Topics ============== Signal & Image Processing : An International Journal is intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing. Topics of interest include, but are not limited to, the following: * Applied Digital Signal Processing * Coding and Transmission * Digital Signal Processing in Communications * Emerging Technologies * Emerging Technologies in Digital Signal Processing * Image & Signal Processing Applications * Image Acquisition and Display: * Image and Video Processing & Analysis * Image Formation * Image Scanning, Display and Printing * Storage and Retrieval Paper Submission ================ Authors are invited to submit papers for this journal through E-mail : [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Important Dates: =============== Submission Deadline : May 06, 2018 Acceptance Notification : June 06, 2018 Final Manuscript Due : June 14, 2018 Publication Date : Determined by the Editor-in-Chief For other details please visit http://www.airccse.org/journal/sipij/index.html
Views: 1 SIPIJ Journal
Signal & Image Processing : An International Journal (SIPIJ)
 
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Signal & Image Processing : An International Journal (SIPIJ) http://www.airccse.org/journal/sipij/index.html ISSN : 0976 - 710X (Online) ; 2229 - 3922 (print) ******************************************************************* Scope & Topics ============== Signal & Image Processing : An International Journal is intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing. Topics of interest include, but are not limited to, the following: * Applied Digital Signal Processing * Coding and Transmission * Digital Signal Processing in Communications * Emerging Technologies * Emerging Technologies in Digital Signal Processing * Image & Signal Processing Applications * Image Acquisition and Display: * Image and Video Processing & Analysis * Image Formation * Image Scanning, Display and Printing * Storage and Retrieval Paper Submission ================ Authors are invited to submit papers for this journal through E-mail : [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://www.airccse.org/journal/sipij/index.html
Views: 7 SIPIJ Journal
Signal & Image Processing : An International Journal (SIPIJ)
 
00:11
http://www.airccse.org/journal/sipij/index.html ISSN : 0976 - 710X (Online) ; 2229 - 3922 (print) ******************************************************************* Scope & Topics ============== Signal & Image Processing : An International Journal is intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing. Topics of interest include, but are not limited to, the following: * Applied Digital Signal Processing * Coding and Transmission * Digital Signal Processing in Communications * Emerging Technologies * Emerging Technologies in Digital Signal Processing * Image & Signal Processing Applications * Image Acquisition and Display: * Image and Video Processing & Analysis * Image Formation * Image Scanning, Display and Printing * Storage and Retrieval Paper Submission ================ Authors are invited to submit papers for this journal through E-mail : [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Important Dates: =============== Submission Deadline : September 09, 2017 Acceptance Notification : October 10, 2017 Final Manuscript Due : October 18, 2017 Publication Date : Determined by the Editor-in-Chief For other details please visit http://www.airccse.org/journal/sipij/index.html
Views: 4 SIPIJ Journal
Signal & Image Processing
 
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Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing. Topics of interest include, but are not limited to, the following #sipij #aircc
Views: 3 SIPIJ Journal
Signal & Image Processing : An International Journal (SIPIJ)
 
00:11
Signal & Image Processing : An International Journal (SIPIJ) http://www.airccse.org/journal/sipij/index.html ISSN : 0976 - 710X (Online) ; 2229 - 3922 (print) Scope & Topics Signal & Image Processing : An International Journal is intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing. Topics of interest include, but are not limited to, the following: * Applied Digital Signal Processing * Coding and Transmission * Digital Signal Processing in Communications * Emerging Technologies * Emerging Technologies in Digital Signal Processing * Image & Signal Processing Applications * Image Acquisition and Display: * Image and Video Processing & Analysis * Image Formation * Image Scanning, Display and Printing * Storage and Retrieval Paper Submission Authors are invited to submit papers for this journal through E-mail : [email protected] . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://www.airccse.org/journal/sipij/index.html
Views: 4 SIPIJ Journal
Signal & Image Processing : An International Journal (SIPIJ)
 
00:13
Signal & Image Processing : An International Journal (SIPIJ) http://www.airccse.org/journal/sipij/index.html ISSN : 0976 - 710X (Online) ; 2229 - 3922 (print) Scope & Topics Signal & Image Processing : An International Journal is intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing. Topics of interest include, but are not limited to, the following: • Applied Digital Signal Processing • Coding and Transmission • Digital Signal Processing in Communications • Emerging technologies • Emerging Technologies in Digital Signal Processing • Image & signal processing Applications • Image Acquisition and Display: • Image and Video Processing & Analysis • Image formation • Image scanning, display, and printing • Storage and Retrieval Paper Submission Authors are invited to submit papers for this journal through E-mail : [email protected] . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://www.airccse.org/journal/sipij/index.html
Views: 18 SIPIJ Journal
Signal & Image Processing : An International Journal (SIPIJ)
 
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Signal & Image Processing : An International Journal is intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing. Topics of interest include, but are not limited to, the following:
Views: 164 AIRCC
Signal Analysis using Matlab -  A Heart Rate example
 
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A demonstration showing how matlab can be used to analyse a an ECG (heart signal) to determine the average beats per minute. Code available at http://dadorran.wordpress.com/2014/05/22/heartrate-bpm-example-matlab-code/
Views: 162118 David Dorran
Signal & Image Processing : An International Journal (SIPIJ)
 
00:11
Signal & Image Processing : An International Journal (SIPIJ) http://www.airccse.org/journal/sipij/index.html ISSN : 0976 - 710X (Online) ; 2229 - 3922 (print) Scope & Topics Signal & Image Processing : An International Journal is intended for researchers from academia and industry, who are active in the ltidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing. Topics of interest include, but are not limited to, the following: * Applied Digital Signal Processing * Coding and Transmission * Digital Signal Processing in Communications * Emerging Technologies * Emerging Technologies in Digital Signal Processing * Image & Signal Processing Applications * Image Acquisition and Display: * Image and Video Processing & Analysis * Image Formation * Image Scanning, Display and Printing * Storage and Retrieval Paper Submission Authors are invited to submit papers for this journal through E-mail : [email protected] . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://www.airccse.org/journal/sipij/index.html
Views: 1 SIPIJ Journal
How to Program an FPGA with LabVIEW FPGA
 
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Knowing how to programme an FPGA is one of the key steps to the successful implementation of FPGA designs. Traditional methods used approaches such as VHDL but now graphical methods of programming FPGAs are being used. LabVIEW FPGA is one programme. It combines the established graphical interface of LabVIEW with additional tools to enable it to programme FPGAs. The video tells you how to program FPGAs using LabVIEW FPGA giving you an example demonstration. And then some industry experts give some of their top tips on how to programme FPGAs with LabVIEW FPGA. FPGAs are used in many areas of the electronics industry. They are used where flexibility, and complex logic circuitry is required. FPGAs are also able to provide complex and fast processing and as such they are ideal for many applications from vision processing, and general signal processing to security, and in fact anywhere that complex logic circuitry is needed. The key to a successful project is knowing how to program an FPGA properly. Although traditional methods of FPGA programming like VHDL have been used for many years and work well, graphical approaches are being increasingly investigated for FPGA programming. LabVIEW FPGA provides an ideal platform for many instances and it is based upon a tried and tested platform. LabVIEW FPGA utilises the basic LabVIEW platform. The addition of a few extra tools enables it to program FPGAs. More information on LabVIEW FPGA and how to program an FPGA can be found here: https://www.electronics-notes.com/articles/digital-embedded-processing/fpga-field-programmable-gate-array/what-is-how-to-program-labview-fpga.php Website: https://www.electronics-notes.com Subscribe to our channel: https://www.youtube.com/ElectronicsNotes
Views: 22947 ElectronicsNotes
3 Applications of the (Fast) Fourier Transform (ft. Michael Kapralov)
 
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This video presents 3 applications of the Fast Fourier Transform (FFT) and hints at many more. Gilbert Strang described FFT as "the most important numerical algorithm of our lifetime". The video features Assistant Professor Michael Kapralov of the IC School at EPFL. http://theory.epfl.ch/kapralov/
Views: 36183 ZettaBytes, EPFL
Spectral Analysis with MATLAB
 
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See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1 Download a trial: https://goo.gl/PSa78r MathWorks engineers illustrate techniques of visualizing and analyzing signals across various applications. Using MATLAB and Signal Processing Toolbox functions we show how you can easily perform common signal processing tasks such as data analysis, frequency domain analysis, spectral analysis and time-frequency analysis techniques. This webinar is geared towards scientists / engineers who are not experts in signal processing. Webinar highlights include: A practical introduction to frequency domain analysis. How to use spectral analysis techniques to gain insight into data. Ways to easily carry out signal measurement tasks. View example code from this webinar here. About the Presenter Kirthi Devleker is the product marketing manager for Signal Processing Toolbox at MathWorks. He holds a MSEE degree from San Jose State University
Views: 42598 MATLAB
HINDI VIDEO: What Is Convolutional Neural Network? Analytics India Guru Explains
 
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Widely used in techniques like signal processing and image classification techniques, CNN usually dominates computer vision techniques because of its accuracy in image classification. Needless to say, CNN has been one of the most influential innovations in the field of computer vision and started gaining immense popularity since 2012 when Alex Krizhevsky used them to win that year’s ImageNet competition, which is basically the annual Olympics of computer vision. In this Hindi explainer video, we dig deeper into understanding what is CNN and how does it work. To understand more concepts around CNN here are links to some of our older articles: Overview of CNN in Image Classification: https://www.analyticsindiamag.com/convolutional-neural-network-image-classification-overview/ Learn Image Classification using CNN in Keras with Code: https://www.analyticsindiamag.com/learn-image-classification-using-cnn-in-keras-with-code/ Types of Activation Functions in Neural Networks: https://www.analyticsindiamag.com/most-common-activation-functions-in-neural-networks-and-rationale-behind-it/ How to create your first Artificial Neural Network in Python: https://www.analyticsindiamag.com/most-common-activation-functions-in-neural-networks-and-rationale-behind-it/ Stay tuned for more Hindi explainers in analytics, data science and AI! -------------------------------------------------- Get in touch with us: Website: www.analyticsindiamag.com Contact: [email protected] Facebook: https://www.facebook.com/AnalyticsIndiaMagazine/ Twitter: http://www.twitter.com/analyticsindiam Linkedin: https://www.linkedin.com/company-beta/10283931/ Instagram: https://www.instagram.com/analyticsindiamagazine/
What Is White Noise?
 
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Jonathan defines what white noise actually is and how it's used to mask other annoying sounds. Learn more at HowStuffWorks.com: http://science.howstuffworks.com/question47.htm Share on Facebook: http://goo.gl/n7YNrZ Share on Twitter: http://goo.gl/Fq9InS Subscribe: http://goo.gl/ZYI7Gt Visit our site: http://www.brainstuffshow.com Cross over into BrainStuff now children. All are welcome! But… before we go into the light together, there seems to be some confusion among you about what “white noise” is. No, it isn’t when you have that snowy static on your TV and ghosts fly out of the screen and your daughter says, “They’re here!” White noise is something we’ve all heard, some of us without even knowing it. So let’s define what it is exactly, how it’s used to mask other sounds and what other “colors” exist on the spectrum of sound. The simplest definition is that white noise is the noise produced by combining all the different frequencies of sound together at once. Each of these frequencies is projected at an equal amount, from low to high. Because white noise has an equal energy distribution, sound technicians refer to its frequency spectrum as being completely flat. Some machines -- like fans for instance -- can create an approximation of white noise by hitting all these notes. That’s why they’re so good at creating background noise that masks other sounds. When there are sudden changes in noise, we’re often distracted by the jarring clash. Especially if we’re sleeping. White noise’s masking effect blocks out those changes, making it easier to sleep through the night. That’s one reason some people leave a fan, air purifier or a television on in the middle of the night. This sound masking is also used to block noise in places like offices, hotels and libraries, often broadcast over a PA system. If you’re trying to concentrate in a disturbing environment and there aren’t filters like these in place, you can always listen to white noise on your headphones to mediate the conflicting sounds around you. How do you think we write these BrainStuff episodes when we all live together in this tiny studio prison and are never allowed to leave? There is peace and serenity in the white noise. We call it “white” noise because it’s analogous to how white light works, being made up of all the different frequencies of light. But white noise isn’t the only “color” on the sound spectrum. Depending on the way signals are distributed over different frequencies they can be red, blue, violet or gray. Pink noise for example is very similar to white noise, but its higher frequencies have less intensity, making it louder and more powerful on the low end. This makes it useful for testing speakers and amplifiers. Like white noise, it’s also used to mask background sounds. And pink noise even occurs naturally in heartbeat rhythms, meteorological data and the radiation output of astronomical bodies. SOURCES: http://science.howstuffworks.com/question47.htm http://www.popsci.com/article/science/fyi-why-does-white-noise-help-people-sleep Spinney, L. (2008). The noise within. New Scientist, 198(2661), 42-45 Carroll, J. (2012). Can white noise ease tinnitus effects?. Plant Engineering, 66(8), 19. http://www.wired.co.uk/news/archive/2011-04/7/colours-of-noise http://www.livescience.com/38464-what-is-pink-noise.html
Intro to Cell Signaling
 
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Explore cell signaling with the Amoeba Sisters! This introductory video describes vocabulary such as ligand and receptor. It includes the stages of cell signaling (reception, transduction, and response) and different types of signaling including autocrine, paracrine, and endocrine. This is just an introduction to a series on signaling that we hope to expand on in the future! Factual References: OpenStax, Biology. OpenStax CNX. Jun 1, 2018 http://cnx.org/contents/[email protected] Reece, J. B., & Campbell, N. A. (2011). Campbell biology. Boston: Benjamin Cummings / Pearson. Further Reading Suggestion: Want to learn more about autocrine signaling in cancer cells? https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1002946/ Support us on Patreon! http://www.patreon.com/amoebasisters More ways to Support Us? http://www.amoebasisters.com/support-us.html Our Resources: Biology Playlist: https://www.youtube.com/playlist?list=PLwL0Myd7Dk1F0iQPGrjehze3eDpco1eVz GIFs: http://www.amoebasisters.com/gifs.html Handouts: http://www.amoebasisters.com/handouts.html Comics: http://www.amoebasisters.com/parameciumparlorcomics Unlectured Series: https://www.amoebasisters.com/unlectured Connect with us! Website: http://www.AmoebaSisters.com Twitter: http://www.twitter.com/AmoebaSisters Facebook: http://www.facebook.com/AmoebaSisters Tumblr: http://www.amoebasisters.tumblr.com Pinterest: http://www.pinterest.com/AmoebaSister­s Instagram: https://www.instagram.com/amoebasistersofficial/ Visit our Redbubble store at http://www.amoebasisters.com/store The Amoeba Sisters videos demystify science with humor and relevance. The videos center on Pinky's certification and experience in teaching science at the high school level. Pinky's teacher certification is in grades 4-8 science and 8-12 composite science (encompassing biology, chemistry, and physics). Amoeba Sisters videos only cover concepts that Pinky is certified to teach, and they focus on her specialty: secondary life science. For more information about The Amoeba Sisters, visit: http://www.amoebasisters.com/about-us.html We cover the basics in biology concepts at the secondary level. If you are looking to discover more about biology and go into depth beyond these basics, our recommended reference is the FREE, peer reviewed, open source OpenStax biology textbook: https://openstax.org/details/books/biology Our intro music designed and performed by Jeremiah Cheshire. End music is this video is listed free to use/no attribution required from the YouTube audio library https://www.youtube.com/audiolibrary/music?feature=blog We take pride in our AWESOME community, and we welcome feedback and discussion. However, please remember that this is an education channel. See YouTube's community guidelines https://www.youtube.com/yt/policyandsafety/communityguidelines.html and YouTube's policy center https://support.google.com/youtube/topic/2676378?hl=en&ref_topic=6151248. We also reserve the right to remove comments with vulgar language. We have YouTube's community contributed subtitles feature on to allow translations for different languages, and we are thankful for those that contribute different languages! YouTube automatically credits the different language contributors below (unless the contributor had opted out of being credited). We are not affiliated with any of the translated subtitle credits that YouTube may place below. If you have a concern about community contributed contributions, please contact us.
Views: 85580 Amoeba Sisters
Digital signal (electronics) | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Digital_signal 00:02:14 1 Definitions 00:02:29 1.1 In digital electronics 00:03:03 1.2 In signal processing 00:03:53 1.3 In communications 00:05:19 2 Logic voltage levels 00:07:00 3 Modulation 00:07:59 4 Clocking 00:08:40 5 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.9122775691809368 Voice name: en-US-Wavenet-C "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= A digital signal is a signal that is being used to represent data as a sequence of discrete values; at any given time it can only take on one of a finite number of values. This contrasts with an analog signal, which represents continuous values; at any given time it represents a real number within a continuous range of values. Simple digital signals represent information in discrete bands of analog levels. All levels within a band of values represent the same information state. In most digital circuits, the signal can have two possible values; this is called a binary signal or logic signal. They are represented by two voltage bands: one near a reference value (typically termed as ground or zero volts), and the other a value near the supply voltage. These correspond to the two values "zero" and "one" (or "false" and "true") of the Boolean domain, so at any given time a binary signal represents one binary digit (bit). Because of this discretization, relatively small changes to the analog signal levels do not leave the discrete envelope, and as a result are ignored by signal state sensing circuitry. As a result, digital signals have noise immunity; electronic noise, provided it is not too great, will not affect digital circuits, whereas noise always degrades the operation of analog signals to some degree.Digital signals having more than two states are occasionally used; circuitry using such signals is called multivalued logic. For example, signals that can assume three possible states are called three-valued logic. In a digital signal, the physical quantity representing the information may be a variable electric current or voltage, the intensity, phase or polarization of an optical or other electromagnetic field, acoustic pressure, the magnetization of a magnetic storage media, etcetera. Digital signals are used in all digital electronics, notably computing equipment and data transmission.
Views: 5 wikipedia tts
Finding Optimal Bedtime With Hannu Kinnunen
 
01:05:09
Show notes: http://biohack.to/kinnunen Biohacker's Live Show features top experts in optimal human performance as if they were in your living room. Your host is Teemu Arina, the co-author of the Biohacker's Handbook and curator of the Biohacker Summit. Hannu Kinnunen is a wearable pioneer, inventor and Chief Science Officer of Oura. Hannu Kinnunen is the brains behind the science that makes Oura the most advanced wearable vital signs monitor in the world. With a long career at heart rate monitor maker Polar, Hannu was responsible for the physiological algorithms, many of which are still used in Polar products today. Hannu is credited in dozens of patents and scientific articles on the field of heart rate based signal processing, biosignal detection, and the analysis of activity, training, recovery and sleep.
Views: 799 Biohacker Summit
Microchip Technology dsPIC33CK 16-Bit Digital Signal Controllers | Featured Product Spotlight
 
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View full article: https://www.allaboutcircuits.com/new-industry-products/microchip-technology-dspic33ck-digital-signal-controllers-featured-product/ Microchip dsPIC33CK 16-bit digital signal controllers provide fast, deterministic performance for motor control, digital power, safety-critical and high-performance embedded applications. The dsPIC33CK integrates MCU control functions and DSP computational capability in a single core. The 16-bit MCU runs at up to 100MHz, with performance up to 100MIPS. It includes up to 256KB of dual partition program flash with ECC and supports the live update functionality required in high-availability systems. The device also includes up to 24KB of DATA SRAM and dual 40-bit fixed point accumulators for DSP operations. The dsPIC33CK integrates MCU control functions and DSP computational capability in a single core. The 16-bit MCU runs at up to 100MHz, with performance up to 100MIPS. It includes up to 256KB of dual partition program flash with ECC and supports the live update functionality required in high-availability systems. The device also includes up to 24KB of DATA SRAM and dual 40-bit fixed point accumulators for DSP operations. To support use in automotive and safety functions, the dsPIC33CK is available with CAN-FD in addition to UART, LIN, SPI, I2C, and SENT interfaces. It also has the ability to verify memory integrity, with ECC fault injection to test the flash and a memory built-in self-test function for the RAM. The DSC includes dual-windowed watchdog timers, a deadman timer, power-on/brown-out reset, and a fail-safe clock monitor with a backup oscillator. CodeGuard security and ICSP write protect program data from alteration and unauthorized access. For more information, as well as all the latest All About Circuits projects and articles, visit the official website at http://www.allaboutcircuits.com/ Check out Mouser's profile on All About Circuits and see more product briefs and articles at https://www.allaboutcircuits.com/author/mouser-electronics For more new products at Mouser, visit https://www.mouser.com/new/ Don't have AAC account yet? Register here for free, and always will be. https://forum.allaboutcircuits.com/register Subscribe on YouTube: https://www.youtube.com/c/AllAboutCircuitsVideo Like us on Facebook: https://www.facebook.com/allaboutcircuits Follow us on Twitter: https://twitter.com/AllAboutCircuit Follow us on LinkedIn: https://www.linkedin.com/company/allaboutcircuits
Views: 228 All About Circuits
Information theory | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Information_theory 00:02:07 1 Overview 00:04:33 2 Historical background 00:05:24 3 Quantities of information 00:07:47 3.1 Entropy of an information source 00:09:36 3.2 Joint entropy 00:13:06 3.3 Conditional entropy (equivocation) 00:14:07 3.4 Mutual information (transinformation) 00:15:33 3.5 Kullback–Leibler divergence (information gain) 00:17:41 3.6 Other quantities 00:21:57 4 Coding theory 00:24:50 4.1 Source theory 00:25:14 4.1.1 Rate 00:27:02 4.2 Channel capacity 00:27:35 4.2.1 Capacity of particular channel models 00:29:38 5 Applications to other fields 00:31:40 5.1 Intelligence uses and secrecy applications 00:32:37 5.2 Pseudorandom number generation 00:32:47 5.3 Seismic exploration 00:34:36 5.4 Semiotics 00:35:39 5.5 Miscellaneous applications 00:36:10 6 See also 00:37:00 6.1 Applications 00:37:17 6.2 History 00:37:54 6.3 Theory 00:38:03 6.4 Concepts 00:38:11 7 References Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts "There is only one good, knowledge, and one evil, ignorance." - Socrates SUMMARY ======= Information theory studies the quantification, storage, and communication of information. It was originally proposed by Claude E. Shannon in 1948 to find fundamental limits on signal processing and communication operations such as data compression, in a landmark paper entitled "A Mathematical Theory of Communication". Applications of fundamental topics of information theory include lossless data compression (e.g. ZIP files), lossy data compression (e.g. MP3s and JPEGs), and channel coding (e.g. for DSL). Its impact has been crucial to the success of the Voyager missions to deep space, the invention of the compact disc, the feasibility of mobile phones, the development of the Internet, the study of linguistics and of human perception, the understanding of black holes, and numerous other fields. A key measure in information theory is "entropy". Entropy quantifies the amount of uncertainty involved in the value of a random variable or the outcome of a random process. For example, identifying the outcome of a fair coin flip (with two equally likely outcomes) provides less information (lower entropy) than specifying the outcome from a roll of a die (with six equally likely outcomes). Some other important measures in information theory are mutual information, channel capacity, error exponents, and relative entropy. The field is at the intersection of mathematics, statistics, computer science, physics, neurobiology, information engineering, and electrical engineering. The theory has also found applications in other areas, including statistical inference, natural language processing, cryptography, neurobiology, human vision, the evolution and function of molecular codes (bioinformatics), model selection in statistics, thermal physics, quantum computing, linguistics, plagiarism detection, pattern recognition, and anomaly detection. Important sub-fields of information theory include source coding, channel coding, algorithmic complexity theory, algorithmic information theory, information-theoretic security, and measures of information.
Views: 3 wikipedia tts
Escort Max 360c vs Ka X band with RF interference
 
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First documented police radar encounter with the new Escort Max 360c WIFI enabled radar detector. The Escort Max 360c has improved over the original Max 360 and early testing suggests Escort's most advanced signal processing efforts are reaping real benefits. In this radar encounter, we see the the Escort Max 360c alerts to a weak X-band signal that only a handful of high-end detectors as well as out alert the original Beltronics STi-R to a genuine off-axis constant-on 33.8Ghz Ka source at the other end of the bridge and it managed to do all this during a time of a lot of interference from stationery drone K-band signs and a number of FMCW K-band collision avoidance systems. This RF scenario is a very challenging one for any detector and the Escort Max 360c appears to handle it with aplomb. Let's hope the Escort's accomplishments on the software design front, trickle down to their less expensive radar detectors. To read more about the new Escort Max 360c, please refer to the following preview article: http://www.stealthveil.com/articles/escort-max-360c-review-preview To get a hands-on first look, visit: http://www.stealthveil.com/articles/escort-max-360c-first-look Escort is currently conducting a "soft release" for those interested in being the first to own one, you can visit: http://shrsl.com/lzxc
Views: 3781 Veil Guy
Analysis | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Analysis 00:00:48 1 Applications 00:00:58 1.1 Science 00:01:55 1.1.1 Isotopes 00:02:23 1.2 Business 00:03:18 1.3 Computer science 00:04:44 1.4 Economics 00:05:02 1.5 Engineering 00:05:32 1.6 Intelligence 00:06:26 1.7 Linguistics 00:07:18 1.8 Literature 00:08:25 1.9 Mathematics 00:11:15 1.10 Music 00:11:33 1.11 Philosophy 00:11:52 1.12 Psychotherapy 00:12:11 1.13 Public Policy 00:12:37 1.14 Signal processing 00:13:04 1.15 Statistics 00:15:13 1.16 Other 00:15:44 2 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.9416872472482731 Voice name: en-GB-Wavenet-A "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Analysis is the process of breaking a complex topic or substance into smaller parts in order to gain a better understanding of it. The technique has been applied in the study of mathematics and logic since before Aristotle (384–322 B.C.), though analysis as a formal concept is a relatively recent development.The word comes from the Ancient Greek ἀνάλυσις (analysis, "a breaking up", from ana- "up, throughout" and lysis "a loosening").As a formal concept, the method has variously been ascribed to Alhazen, René Descartes (Discourse on the Method), and Galileo Galilei. It has also been ascribed to Isaac Newton, in the form of a practical method of physical discovery (which he did not name).
Views: 1 wikipedia tts
Use a Robot to Record and Transfer Audio Signals
 
02:10
View full article: https://www.allaboutcircuits.com/projects/how-to-use-a-robot-to-record-and-transfer-audio-signals/ This article provides detailed information on sampling audio signals and transferring the data to a PC for analysis. For more information, as well as all the latest All About Circuits projects and articles, visit the official website at http://www.allaboutcircuits.com/ Check out author's profile on All About Circuits and see more articles and technical projects he created: https://www.allaboutcircuits.com/author/robert-keim Subscribe on YouTube: https://www.youtube.com/c/AllAboutCircuitsVideo Like us on Facebook: https://www.facebook.com/allaboutcircuits Follow us on Twitter: https://twitter.com/AllAboutCircuit Follow us on LinkedIn: https://www.linkedin.com/company/allaboutcircuits
Views: 390 All About Circuits
Analog Devices (es) | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Analog_Devices 00:01:07 1 History 00:03:17 2 Locations 00:04:03 3 Employees 00:06:40 3.1 Historical 00:07:15 4 Products and technologies 00:11:23 4.1 Historical 00:12:00 5 Markets 00:12:12 5.1 Healthcare 00:13:08 5.2 Automotive 00:13:35 5.3 Industrial 00:14:20 5.4 Consumer 00:15:06 6 Competitors 00:16:02 7 Analog Dialogue 00:16:35 8 Communities 00:17:36 8.1 Community Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: nil Voice name: nil "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Analog Devices, Inc., also known as ADI or Analog, is an American multinational semiconductor company specializing in data conversion and signal processing technology, headquartered in Norwood, Massachusetts. In 2012, Analog Devices led the worldwide data converter market with a 48.5% share, according to analyst firm Databeans.The company manufactures analog, mixed-signal and digital signal processing (DSP) integrated circuits (ICs) used in electronic equipment. These technologies are used to convert, condition and process real-world phenomena, such as light, sound, temperature, motion, and pressure into electrical signals.Analog Devices has approximately 100,000 customers in the following industries: communications, computer, industrial, instrumentation, military/aerospace, automotive, and consumer electronics applications.
Views: 3 wikipedia tts
Biomedical cybernetics | Wikipedia audio article
 
01:05
This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Biomedical_cybernetics 00:00:14 1 Fields 00:00:28 2 Methods 00:00:47 3 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.8895342983438496 Voice name: en-AU-Wavenet-B "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Biomedical cybernetics investigates signal processing, decision making and control structures in living organisms. Applications of this research field are in biology, ecology and health sciences.
Views: 1 wikipedia tts
FFT Basics
 
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This is a simple, video tutorial to review the FFT algorithm, using an Analog Arts (http://analogarts.com/) SF880. According to the Fourier theorem, the building blocks of a function like a square, triangular, saw-tooth, and any other random function is the addition of a number of sinusoidal waves with different frequencies, phase, and amplitude. The Fourier transform breaks up this composition and presents each component of the signal. And the FFT, Fast Fourier Transform algorithm, computes these components with a remarkable processing time efficiency.... Please help us with tutorial articles by writing to: [email protected]
Views: 2464 Academia
Electronic engineer | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Electronic_engineering 00:01:29 1 Relationship to electrical engineering 00:02:49 2 History 00:03:59 3 Electronics 00:05:50 4 Subfields 00:11:22 5 Education and training 00:15:17 5.1 Electromagnetics 00:16:17 5.2 Network analysis 00:17:17 5.3 Electronic devices and circuits 00:19:40 5.4 Signals and systems 00:20:30 5.5 Control systems 00:22:25 5.6 Communications 00:23:16 6 Professional bodies 00:24:19 7 Project engineering 00:26:03 8 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.87806515233024 Voice name: en-GB-Wavenet-C "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Electronic engineering (also called electronics and communications engineering) is an electrical engineering discipline which utilizes nonlinear and active electrical components (such as semiconductor devices, especially transistors, diodes and integrated circuits) to design electronic circuits, devices, VLSI devices and their systems. The discipline typically also designs passive electrical components, usually based on printed circuit boards. Electronics is a subfield within the wider electrical engineering academic subject but denotes a broad engineering field that covers subfields such as analog electronics, digital electronics, consumer electronics, embedded systems and power electronics. Electronics engineering deals with implementation of applications, principles and algorithms developed within many related fields, for example solid-state physics, radio engineering, telecommunications, control systems, signal processing, systems engineering, computer engineering, instrumentation engineering, electric power control, robotics, and many others. The Institute of Electrical and Electronics Engineers (IEEE) is one of the most important and influential organizations for electronics engineers.
Views: 2 wikipedia tts
Electronic engineering | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Electronic_engineering 00:01:26 1 Relationship to electrical engineering 00:02:43 2 History 00:03:50 3 Electronics 00:05:37 4 Subfields 00:10:57 5 Education and training 00:14:45 5.1 Electromagnetics 00:15:41 5.2 Network analysis 00:16:38 5.3 Electronic devices and circuits 00:18:55 5.4 Signals and systems 00:19:42 5.5 Control systems 00:21:32 5.6 Communications 00:22:21 6 Professional bodies 00:23:22 7 Project engineering 00:25:02 8 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.803097783448228 Voice name: en-AU-Wavenet-C "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Electronic engineering (also called electronics and communications engineering) is an electrical engineering discipline which utilizes nonlinear and active electrical components (such as semiconductor devices, especially transistors, diodes and integrated circuits) to design electronic circuits, devices, VLSI devices and their systems. The discipline typically also designs passive electrical components, usually based on printed circuit boards. Electronics is a subfield within the wider electrical engineering academic subject but denotes a broad engineering field that covers subfields such as analog electronics, digital electronics, consumer electronics, embedded systems and power electronics. Electronics engineering deals with implementation of applications, principles and algorithms developed within many related fields, for example solid-state physics, radio engineering, telecommunications, control systems, signal processing, systems engineering, computer engineering, instrumentation engineering, electric power control, robotics, and many others. The Institute of Electrical and Electronics Engineers (IEEE) is one of the most important and influential organizations for electronics engineers.
Views: 2 wikipedia tts
How to Setup and Record with Arrow by Universal Audio
 
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In this video, producer Christian “Leggy” Langdon shows artist AMES, how to set up and track with her new UA Arrow audio interface, so she can make professional quality recordings on her own. Learn more about the award-winning Arrow audio interface here: https://u.audio/2MKqAKt --------------------------------------------------------------------- 00:15 - Introduction and Unboxing 01:28 - Hardware Overview 04:40 - Software Overview 06:15 - Plug-In Presets and Saving Your Session 06:37 - Tracking Guitar 07:31 - Unison Technology 10:24 - Tracking Vocals 13:24 - Tracking: From the Top 15:05 - Recap --------------------------------------------------------------------- Christian “Leggy” Langdon is a multi-talented producer and songwriter who has collaborated with many artists such as Banks, Meg Myers, and Ed Sheeran. In this quickstart tutorial, he demonstrates how to get started with AMES’ new Arrow audio interface. After the initial set up, Leggy gives a guided tour over all of the Arrow’s buttons and knobs, included Console 2.0 software, and shows how to connect microphones and instruments. Universal Audio’s products are known for their intuitive designs, as well as near-zero latency workflow using realtime UAD processing and Unison Technology. Leggy explains all of the key features on the Arrow while teaching AMES how to operate hers. By the end of this video, both you and AMES will be ready to record tracks quickly and easily with the Arrow audio interface. ☞UA Gear Used: Arrow audio interface UAD AKG BX 20 UAD Marshall Plexi Classic UAD Neve 1073 UAD 1176LN Legacy UAD Pure Plate ♫ Song Info ♫ “Flowers For Anna” Performed By Ames -https://www.facebook.com/mynameisames/ Written by AMES & Christian Leggy Langdon Produced by Christian Leggy Landon http://electricladystudios.com/producer-management/ Listen to the full song here: https://soundcloud.com/mynameisames/flowers-for-anna ---------------------------------------------------------------------------------- → Like Universal Audio on Facebook: https://www.facebook.com/universalaudioinc/ → Follow @uaudio on Instagram - https://www.instagram.com/uaudio/ → Find @uaudio on Twitter: https://twitter.com/UAudio → Subscribe to UA’s YouTube Channel: https://www.youtube.com/user/UniversalAudio → Learn more about Universal Audio - https://www.uaudio.com/ ---------------------------------------------------------------------------------- Do you ever wonder how top producers and engineers use Universal Audio gear to make platinum sounding records? Our instructional videos and articles reveal countless studio secrets so you can break the barriers of what you thought was possible with an audio interface. Learn more studio tips and tricks by visiting: https://u.audio/2u3y3fD About Universal Audio Inc. Founded in 1958 by recording pioneer Bill Putnam Sr., and refounded in 1999 by Bill Putnam Jr., Universal Audio is best known for its classic, hand-built analog hardware and advanced UAD Digital Signal Processing technology for recording, mixing, and mastering audio. Headquartered in Scotts Valley, California, UA is focused on merging the best of vintage analog and modern digital technology, following its rich recording heritage and motto, “Analog Ears. Digital Minds.” ©2018 Universal Audio, Inc. All rights reserved. Product features, specifications, pricing, and availability are subject to change without notice. The "Universal Audio" name, UA "diamond" logo, “Apollo,” “Apollo Twin,” “UAD,” “Powered Plug-Ins,” and “UAD-2 Powered Plug-Ins" are trademarks of Universal Audio Inc. *All other trademarks contained herein are the property of their respective owners.
Views: 34841 Universal Audio
Against use of Psychotronic Weapons.Appeals against psychiatrists H.Dief and David Gratzer. Part 1/2
 
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WEB Site: http://www.organizationofmindcontrolvictims.com/ Books and articles regarding electronic weapons, body and mind control technologies on http://www.ncbi.nlm.nih.gov/pubmed/, a search engine for MEDLINE library, service of the U.S. National Library of Medicine and the National Institute of Health: 1.Moreno JD., 2004, DARPA on your mind, Cerebrum;6(4):91-9 2.June 2003, Silence of the neuroengineers, Nature, 423(6942):787 3.Hoag H., June 2003, Remote control, Nature, 423(6942):796-8. 4.Rudolph A, July 2003, Military: brain machine could benefit millions, Nature, 424(6947):369 5.Keiper A, 2006, The age of neuroelectronics, New Atlantis,11:4-41 6.Durand DM, 2007, Neural engineering--a new discipline for analyzing and interacting with the nervous system, Methods Inf Med, 46(2):142-6. 7.Birmingham JT, Graham DM, Tauck DL, May 2004, Lymnaea stagnalis and the development of neuroelectronic technologies, J Neurosci Res,76(3):277-81 8.Kawato M, June 2008, Brain controlled robot, HFSP J., 2(3):136-42. Epub 2008 May 23 9.Glannon W., February 2006, Neuroethics, Bioethics; 20(1):37-52. 10.Fuchs T., November 2006, Ethical issues in neuroscience, Curr Opin Psychiatry;19(6):600-7 11.Butler D., January, 22, 1998 Advances in Neuroscience May Threaten Human Rights, Nature, Vol, 391, p. 316 12.Delgado JM, Mark V, Sweet W, Ervin F, Weiss G, Bach-Y-Rita G, Hagiwara R., October,1968, Intracerebral radio stimulation and recording in completely free patients, J Nerv Ment Dis.;147(4):329-40 13.Horgan J., October, 2005, The forgotten era of brain chips, Sci Am.;293(4):66-73 14.Delgado JM, November, 1955, Evaluation of permanent implantation of electrodes within the brain, Electroencephalography and Clinical Neurophysiology, 7(4):637-44. 15.Delgado JM, June 1959, Electronic command of movement and behavior, Transactions of the New York Academy of Sciences; 21:689-99. 16.Faden RR, 1996 May, Human-subjects research today: final report of the Advisory Committee on Human Radiation Experiments, Acad Med;71(5):482-3. 17.Heath RG, December, 1963, Electrical self-stimulation of the brain in man, American Journal of Psychiatry, 120:571-7. 18.Heath RG, January 1972, Pleasure and brain activity in man. Deep and surface electroencephalograms during orgasm, Journal of Nervous and Mental Disease, 154(1):3-18 19.Adey, W. Ross, December, 1979, Neurophysiologic Effects of Radiofrequency and Microwave Radiation, Bulletin of the New York Academy of Medicine, V.55, #11 20.Bawin SM, Gavalas-Medici RJ, Adey WR., 1973, Effects of Modulated Very High Frequency Fields on Specific Brain Rhythms in Cats, Brain Research, V.58. 21.Elazar Z, Adey WR., 1967, Spectral Analysis of Low Frequency Components in the Electrical Activity of the Hippocampus during Learning, Electroencephalography and Clinical Neurophysiology, V.23. 22.Frey AH, 1965, Behavioral Biophysics, Psychological Bulletin, V.65, #5. 23.Frey AH, 1962, Human Auditory System Response to Modulated Electromagnetic Energy, Journal of Applied Physiology, 17/4, pg. 689 692 24.Eichert ES 3rd, Frey AH, June, 1976, Proceedings: Human auditory system response to lower power density, pulse modulated, electromagnetic energy: a search for mechanisms. 25.Frey AH, Feld SR, Frey B., February, 1975, Neural Function and Behavior: Defining to Relationship, Annals of the New York Academy of Sciences, V.247 There are 259 articles and books about brain-machine interface, 155 articles about neuroengineering, 80 articles about neural interfacing, 18 articles about neuromechanical systems, 580 articles about neuroinformatics, 20866 articles about neuroimaging, 1380 articles about neural prostheses, 26 articles about artificial and biological neural circuits, 33697 articles about neural control, 3678 articles about neural signal processing, 2658 articles about neural modeling, 2 articles about neuro-computation in MEDLINE library.
Views: 1531 helenkurdin
Electronics | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Electronics 00:02:31 1 Branches of electronics 00:03:01 2 Electronic devices and components 00:03:59 3 History of electronic components 00:05:28 4 Types of circuits 00:05:50 4.1 Analog circuits 00:07:39 4.2 Digital circuits 00:09:39 5 Heat dissipation and thermal management 00:10:15 6 Noise 00:10:55 7 Electronics theory 00:11:38 8 Electronics lab 00:12:17 9 Computer aided design (CAD) 00:13:04 10 Packaging methods 00:14:07 11 Electronic systems design 00:14:46 12 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.9935508283650925 Voice name: en-AU-Wavenet-A "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Electronics comprises the physics, engineering, technology and applications that deal with the emission, flow and control of electrons in vacuum and matter. The identification of the electron in 1897, along with the invention of the vacuum tube, which could amplify and rectify small electrical signals, inaugurated the field of electronics and the electron age.Electronics deals with electrical circuits that involve active electrical components such as vacuum tubes, transistors, diodes, integrated circuits, optoelectronics, and sensors, associated passive electrical components, and interconnection technologies. Commonly, electronic devices contain circuitry consisting primarily or exclusively of active semiconductors supplemented with passive elements; such a circuit is described as an electronic circuit. The nonlinear behaviour of active components and their ability to control electron flows makes amplification of weak signals possible. Electronics is widely used in information processing, telecommunication, and signal processing. The ability of electronic devices to act as switches makes digital information-processing possible. Interconnection technologies such as circuit boards, electronics packaging technology, and other varied forms of communication infrastructure complete circuit functionality and transform the mixed components into a regular working system. Electrical and electromechanical science and technology deals with the generation, distribution, switching, storage, and conversion of electrical energy to and from other energy forms (using wires, motors, generators, batteries, switches, relays, transformers, resistors, and other passive components). This distinction started around 1906 with the invention by Lee De Forest of the triode, which made electrical amplification of weak radio signals and audio signals possible with a non-mechanical device. Until 1950 this field was called "radio technology" because its principal application was the design and theory of radio transmitters, receivers, and vacuum tubes. As of 2018 most electronic devices use semiconductor components to perform electron control. The study of semiconductor devices and related technology is considered a branch of solid-state physics, whereas the design and construction of electronic circuits to solve practical problems come under electronics engineering. This article focuses on engineering aspects of electronics.
Views: 2 wikipedia tts
NXP Semiconductors S32R274 RADAR MCU | New Product Brief
 
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View full article: https://www.allaboutcircuits.com/new-industry-products/nxp-semiconductors-s32r274-radar-mcu-new-product-brief/ NXP’s S32R274 RADAR MCU combines advanced radar signal processing capabilities with a multicore MCU for use in a variety of automotive radar applications, as well as applications such as surveillance or industrial automation. The radar platform integrates high-speed analog interfaces and waveform generation as well as NXP’s Radar Signal Processing Toolbox 2.0 to accelerate signal processing hardware for best-in-class performance per watt. The MCU includes a dual-core Power Architecture e200Z7 MCU for high-performance computation, and an e200Z4 dedicated safety core with a separate checker core and is designed for ASIL-D applications. NXP’s S32R274 also includes a cryptographic security engine, 2MB of on-chip flash and 1.5MB of SRAM, both with ECC, and is AEC-Q100 Grade 1 qualified. For more information, as well as all the latest All About Circuits projects and articles, visit the official website at http://www.allaboutcircuits.com/ Check out Mouser's profile on All About Circuits and see more product briefs and articles at https://www.allaboutcircuits.com/author/mouser-electronics For more new products at Mouser, visit https://www.mouser.com/new/ Don't have AAC account yet? Register here for free, and always will be. https://forum.allaboutcircuits.com/register Subscribe on YouTube: https://www.youtube.com/c/AllAboutCircuitsVideo Like us on Facebook: https://www.facebook.com/allaboutcircuits Follow us on Twitter: https://twitter.com/AllAboutCircuit Follow us on LinkedIn: https://www.linkedin.com/company/allaboutcircuits
Views: 239 All About Circuits
Computer Vision | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Computer_vision 00:01:48 1 Definition 00:03:07 2 History 00:06:19 3 Related fields 00:06:29 3.1 Artificial Intelligence 00:07:25 3.2 Information Engineering 00:07:41 3.3 Solid-state Physics 00:08:45 3.4 Neurobiology 00:10:41 3.5 Signal Processing 00:11:31 3.6 Other fields 00:12:29 3.7 Distinctions 00:16:21 4 Applications 00:22:35 5 Typical tasks 00:23:50 5.1 Recognition 00:28:12 5.2 Motion analysis 00:29:22 5.3 Scene reconstruction 00:30:18 5.4 Image restoration 00:31:15 6 System methods 00:36:13 6.1 Image-understanding systems 00:37:44 7 Hardware 00:40:34 8 See also 00:41:10 8.1 Lists Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.863472668070806 Voice name: en-GB-Wavenet-C "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Computer vision is an interdisciplinary scientific field that deals with how computers can be made to gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do.Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. Understanding in this context means the transformation of visual images (the input of the retina) into descriptions of the world that can interface with other thought processes and elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory.As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply its theories and models for the construction of computer vision systems. Sub-domains of computer vision include scene reconstruction, event detection, video tracking, object recognition, 3D pose estimation, learning, indexing, motion estimation, and image restoration.
Views: 5 wikipedia tts
Extech IR250 infrared thermometer disassembly and plans for thermal imaging
 
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One of my ongoing projects is to develop a low-cost thermal imaging camera. In this video, I take apart an Extech IR250 infrared thermometer with the intention of grabbing an analog or digital signal so that I can record temperature measurements while using a scanning or image processing device to select portions of the scene being examined. Unfortunately, it looks like the analog circuitry is completely sealed inside a custom IC that is hidden under a blob of potting material. I'll remove the IR sensor from the board and build my own analog amplification and digitization hardware. Common digital output IR thermometer sensor: http://www.melexis.com/Infrared-Thermometer-Sensors/Infrared-Thermometer-Sensors/MLX90614-615.aspx TPS334 sensor datasheet: http://www.datasheetcatalog.org/datasheet/perkinelmer/TPS334.pdf Analog Devices app note regarding thermopile sensors: http://www.analog.com/en/all-operational-amplifiers-op-amps/operational-amplifiers-op-amps/products/technical-articles/using_thermopile_sensor_in_ir_digital_thermometers/resources/fca.html Servo pan/tilt IR imaging scanner project: http://www.cheap-thermocam.tk/ Redshift thermal imaging: http://redshiftsystems.com/site
Views: 46162 Applied Science
Cognitive computing | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Cognitive_computing 00:00:30 1 Definition 00:03:00 2 Use cases 00:03:24 3 Cognitive analytics 00:04:44 4 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.8333408786955724 Voice name: en-US-Wavenet-A "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Cognitive computing (CC) describes technology platforms that, broadly speaking, are based on the scientific disciplines of artificial intelligence and signal processing. These platforms encompass machine learning, reasoning, natural language processing, speech recognition and vision (object recognition), human–computer interaction, dialog and narrative generation, among other technologies.
Views: 1 wikipedia tts
Real-time computing | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Real-time_computing 00:01:59 1 History 00:05:14 2 Criteria for real-time computing 00:08:48 2.1 Real-time in digital signal processing 00:11:05 2.1.1 Live vs. real-time 00:12:09 3 Real-time and high-performance 00:14:46 4 Near real-time 00:16:39 5 Design methods Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.7858842368020222 Voice name: en-AU-Wavenet-B "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= In computer science, real-time computing (RTC), or reactive computing describes hardware and software systems subject to a "real-time constraint", for example from event to system response. Real-time programs must guarantee response within specified time constraints, often referred to as "deadlines". The correctness of these types of systems depends on their temporal aspects as well as their functional aspects. Real-time responses are often understood to be in the order of milliseconds, and sometimes microseconds. A system not specified as operating in real time cannot usually guarantee a response within any timeframe, although typical or expected response times may be given. A real-time system has been described as one which "controls an environment by receiving data, processing them, and returning the results sufficiently quickly to affect the environment at that time". The term "real-time" is also used in simulation to mean that the simulation's clock runs at the same speed as a real clock, and in process control and enterprise systems to mean "without significant delay". Real-time software may use one or more of the following: synchronous programming languages, real-time operating systems, and real-time networks, each of which provide essential frameworks on which to build a real-time software application. Systems used for many mission critical applications must be real-time, such as for control of fly-by-wire aircraft, or anti-lock brakes on a vehicle, which must produce maximum deceleration but intermittently stop braking to prevent skidding. Real-time processing fails if not completed within a specified deadline relative to an event; deadlines must always be met, regardless of system load.
Views: 0 wikipedia tts
History of astronomical interferometry | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Astronomical_interferometer 00:03:03 1 History 00:06:18 2 Modern astronomical interferometry 00:12:42 3 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.7849232899691926 Voice name: en-AU-Wavenet-B "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= An astronomical interferometer is an array of separate telescopes, mirror segments, or radio telescope antennas that work together as a single telescope to provide higher resolution images of astronomical objects such as stars, nebulas and galaxies by means of interferometry. The advantage of this technique is that it can theoretically produce images with the angular resolution of a huge telescope with an aperture equal to the separation between the component telescopes. The main drawback is that it does not collect as much light as the complete instrument's mirror. Thus it is mainly useful for fine resolution of more luminous astronomical objects, such as close binary stars. Another drawback is that the maximum angular size of a detectable emission source is limited by the minimum gap between detectors in the collector array.Interferometry is most widely used in radio astronomy, in which signals from separate radio telescopes are combined. A mathematical signal processing technique called aperture synthesis is used to combine the separate signals to create high-resolution images. In Very Long Baseline Interferometry (VLBI) radio telescopes separated by thousands of kilometers are combined to form a radio interferometer with a resolution which would be given by a hypothetical single dish with an aperture thousands of kilometers in diameter. At the shorter wavelengths used in infrared astronomy and optical astronomy it is more difficult to combine the light from separate telescopes, because the light must be kept coherent within a fraction of a wavelength over long optical paths, requiring very precise optics. Practical infrared and optical astronomical interferometers have only recently been developed, and are at the cutting edge of astronomical research. At optical wavelengths, aperture synthesis allows the atmospheric seeing resolution limit to be overcome, allowing the angular resolution to reach the diffraction limit of the optics. Astronomical interferometers can produce higher resolution astronomical images than any other type of telescope. At radio wavelengths, image resolutions of a few micro-arcseconds have been obtained, and image resolutions of a fractional milliarcsecond have been achieved at visible and infrared wavelengths. One simple layout of an astronomical interferometer is a parabolic arrangement of mirror pieces, giving a partially complete reflecting telescope but with a "sparse" or "dilute" aperture. In fact the parabolic arrangement of the mirrors is not important, as long as the optical path lengths from the astronomical object to the beam combiner (focus) are the same as would be given by the complete mirror case. Instead, most existing arrays use a planar geometry, and Labeyrie's hypertelescope will use a spherical geometry.
Views: 8 wikipedia tts