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Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK

Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK
Author: Rulph Chassaing
Publisher: John Wiley & Sons
Total Pages: 612
Release: 2011-09-20
Genre: Science
ISBN: 1118210344

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Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK Now in a new edition—the most comprehensive, hands-on introduction to digital signal processing The first edition of Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK is widely accepted as the most extensive text available on the hands-on teaching of Digital Signal Processing (DSP). Now, it has been fully updated in this valuable Second Edition to be compatible with the latest version (3.1) of Texas Instruments Code Composer Studio (CCS) development environment. Maintaining the original’s comprehensive, hands-on approach that has made it an instructor’s favorite, this new edition also features: Added program examples that illustrate DSP concepts in real-time and in the laboratory Expanded coverage of analog input and output New material on frame-based processing A revised chapter on IIR, which includes a number of floating-point example programs that explore IIR filters more comprehensively More extensive coverage of DSP/BIOS All programs listed in the text—plus additional applications—which are available on a companion website No other book provides such an extensive or comprehensive set of program examples to aid instructors in teaching DSP in a laboratory using audio frequency signals—making this an ideal text for DSP courses at the senior undergraduate and postgraduate levels. It also serves as a valuable resource for researchers, DSP developers, business managers, and technology solution providers who are looking for an overview and examples of DSP algorithms implemented using the TMS320C6713 and TMS320C6416 DSK.


Digital Signal Processing and Applications with the C6713 and C6416 DSK

Digital Signal Processing and Applications with the C6713 and C6416 DSK
Author: Rulph Chassaing
Publisher: John Wiley & Sons
Total Pages: 542
Release: 2004-12-20
Genre: Science
ISBN: 0471704067

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This book is a tutorial on digital techniques for waveform generation, digital filters, and digital signal processing tools and techniques The typical chapter begins with some theoretical material followed by working examples and experiments using the TMS320C6713-based DSPStarter Kit (DSK) The C6713 DSK is TI's newest signal processor based on the C6x processor (replacing the C6711 DSK)


Digital Signal Processing Using MATLAB

Digital Signal Processing Using MATLAB
Author: Andr¿ Quinquis
Publisher: John Wiley & Sons
Total Pages: 425
Release: 2010-01-05
Genre: Technology & Engineering
ISBN: 0470393572

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This book uses MATLAB as a computing tool to explore traditional DSP topics and solve problems. This greatly expands the range and complexity of problems that students can effectively study in signal processing courses. A large number of worked examples, computer simulations and applications are provided, along with theoretical aspects that are essential in order to gain a good understanding of the main topics. Practicing engineers may also find it useful as an introductory text on the subject.


Digital Signal Processing and Applications with the OMAP - L138 eXperimenter

Digital Signal Processing and Applications with the OMAP - L138 eXperimenter
Author: Donald S. Reay
Publisher: John Wiley & Sons
Total Pages: 358
Release: 2012-03-20
Genre: Science
ISBN: 047093686X

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Teaches digital signal processing concepts via hands-on examples The OMAP-L138 eXperimenter is the latest inexpensive DSP development system to be adopted by the Texas Instruments University Program. The OMAP-L138 processor contains both ARM and DSP cores and is aimed at portable and mobile multimedia applications. This book concentrates on the demonstration of real-time DSP algorithms implemented on its C6748 DSP core. Digital Signal Processing and Applications with the OMAP-L138 eXperimenter provides an extensive and comprehensive set of program examples to aid instructors in teaching DSP in a laboratory using audio frequency signals—making it an ideal text for DSP courses at senior undergraduate and postgraduate levels. Subjects covered include polling-based, interrupt-based, and DMA-based I/O methods, and how real-time programs may be run using the board support library (BSL), the DSP/BIOS real-time operating system, or the DSP/BIOS Platform Support Package. Chapters include: Analog input and output with the OMAP-L138 eXperimenter Finite impulse response filters Infinite impulse response filters Fast Fourier transform Adaptive filters DSP/BIOS and platform support package Each chapter begins with a review of background theory and then presents a number of real-time program examples to reinforce understanding of that theory and to demonstrate the use of the OMAP-L138 eXperimenter and Texas Instruments Code Composer Studio integrated development environment.


Digital Signal Processing Using the ARM Cortex M4

Digital Signal Processing Using the ARM Cortex M4
Author: Donald S. Reay
Publisher: John Wiley & Sons
Total Pages: 314
Release: 2015-09-21
Genre: Technology & Engineering
ISBN: 1119078199

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Features inexpensive ARM® Cortex®-M4 microcontroller development systems available from Texas Instruments and STMicroelectronics. This book presents a hands-on approach to teaching Digital Signal Processing (DSP) with real-time examples using the ARM® Cortex®-M4 32-bit microprocessor. Real-time examples using analog input and output signals are provided, giving visible (using an oscilloscope) and audible (using a speaker or headphones) results. Signal generators and/or audio sources, e.g. iPods, can be used to provide experimental input signals. The text also covers the fundamental concepts of digital signal processing such as analog-to-digital and digital-to-analog conversion, FIR and IIR filtering, Fourier transforms, and adaptive filtering. Digital Signal Processing Using the ARM® Cortex®-M4: Uses a large number of simple example programs illustrating DSP concepts in real-time, in an electrical engineering laboratory setting Includes examples for both STM32F407 Discovery and the TM4C123 Launchpad, using Keil MDK-ARM, on a companion website Example programs for the TM4C123 Launchpad using Code Composer Studio version 6 available on companion website Digital Signal Processing Using the ARM® Cortex®-M4 serves as a teaching aid for university professors wishing to teach DSP using laboratory experiments, and for students or engineers wishing to study DSP using the inexpensive ARM® Cortex®-M4.


Introductory Digital Signal Processing with Computer Applications, SOL 2 Rev t/a

Introductory Digital Signal Processing with Computer Applications, SOL 2 Rev t/a
Author: Paul A. Lynn
Publisher: Wiley
Total Pages: 146
Release: 1999-11-01
Genre: Science
ISBN: 9780471979845

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Digital signal processing has progressed rapidly from a specialist research topic to one with practical applications in many disciplines, including branches of engineering and science which involve data acquisition, such as meterology, physics and information systems. This book aims to provide students with an introductory, one-term course in the subject, using a considerable number of computer programmes to illustrate the text. A number of worked examples have been included in order to illustrate and develop important ideas and design techniques. Problems designed to test and consolidate work already undertaken are supplied at the end of each chapter, and selected answers are given at the end of the book.


Digital Audio Signal Processing

Digital Audio Signal Processing
Author: Udo Zölzer
Publisher: John Wiley & Sons
Total Pages: 420
Release: 2022-02-24
Genre: Technology & Engineering
ISBN: 1119832691

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Digital Audio Signal Processing The fully revised new edition of the popular textbook, featuring additional MATLAB exercises and new algorithms for processing digital audio signals Digital Audio Signal Processing (DASP) techniques are used in a variety of applications, ranging from audio streaming and computer-generated music to real-time signal processing and virtual sound processing. Digital Audio Signal Processing provides clear and accessible coverage of the fundamental principles and practical applications of digital audio processing and coding. Throughout the book, the authors explain a wide range of basic audio processing techniques and highlight new directions for automatic tuning of different algorithms and discuss state- of-the-art DASP approaches. Now in its third edition, this popular guide is fully updated with the latest signal processing algorithms for audio processing. Entirely new chapters cover nonlinear processing, Machine Learning (ML) for audio applications, distortion, soft/hard clipping, overdrive, equalizers and delay effects, sampling and reconstruction, and more. Covers the fundamentals of quantization, filters, dynamic range control, room simulation, sampling rate conversion, and audio coding Describes DASP techniques, their theoretical foundations, and their practical applications Discusses modern studio technology, digital transmission systems, storage media, and home entertainment audio components Features a new introductory chapter and extensively revised content throughout Provides updated application examples and computer-based activities supported with MATLAB exercises and interactive JavaScript applets via an author-hosted companion website Balancing essential concepts and technological topics, Digital Audio Signal Processing, Third Edition remains the ideal textbook for advanced music technology and engineering students in audio signal processing courses. It is also an invaluable reference for audio engineers, hardware and software developers, and researchers in both academia and industry.


Dictionary of Computer Vision and Image Processing

Dictionary of Computer Vision and Image Processing
Author: Robert B. Fisher
Publisher: John Wiley & Sons
Total Pages: 442
Release: 2013-11-08
Genre: Computers
ISBN: 1118706811

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Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image Processing is a comprehensive and reliable resource which now provides explanations of over 3500 of the most commonly used terms across image processing, computer vision and related fields including machine vision. It offers clear and concise definitions with short examples or mathematical precision where necessary for clarity that ultimately makes it a very usable reference for new entrants to these fields at senior undergraduate and graduate level, through to early career researchers to help build up knowledge of key concepts. As the book is a useful source for recent terminology and concepts, experienced professionals will also find it a valuable resource for keeping up to date with the latest advances. New features of the 2nd Edition: Contains more than 1000 new terms, notably an increased focus on image processing and machine vision terms; Includes the addition of reference links across the majority of terms pointing readers to further information about the concept under discussion so that they can continue to expand their understanding; Now available as an eBook with enhanced content: approximately 50 videos to further illustrate specific terms; active cross-linking between terms so that readers can easily navigate from one related term to another and build up a full picture of the topic in question; and hyperlinked references to fully embed the text in the current literature.


Signal Processing with Alpha-Stable Distributions and Applications

Signal Processing with Alpha-Stable Distributions and Applications
Author: Chrysostomos L. Nikias
Publisher: Wiley-Interscience
Total Pages: 192
Release: 1995-09-28
Genre: Computers
ISBN:

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For the first time, this book offers a full and lucid introduction to a useful type of non-Gaussian models, namely those specified by alpha-stable distributions. Emphasizing the practical rather than the theoretical, it surveys the statistical properties, methods, and applications of symmetrical alpha-stable distributions.