Описание: Cell phones, GPS receivers, and CD players are just some of the products that rely on real-time digital signal processing (DSP). This book bridges theory and application of DSP using a step-by-step transition approach. It builds a practical framework that reinforces basic DSP theory using demonstrations, exercises, and projects, exploring MATLAB and real-time DSP hardware. The authors provide downloadable access to source code, example files, test signals, and executable programs required for presented examples, exercises, and projects. The book also offers solutions and challenges throughout.
Описание: This updated edition gives readers hands-on experience in real-time DSP using a practical, step-by-step framework that also incorporates demonstrations, exercises, and problems, coupled with brief overviews of applicable theory and MATLAB applications. Organized in three sections that cover enduring fundamentals and present practical projects and invaluable appendices, this new edition provides support for the most recent and powerful of the inexpensive DSP development boards currently available from Texas Instruments: the OMAP-L138 LCDK. It includes two new real-time DSP projects, as well as three new appendices: an introduction to the Code Generation tools available with MATLAB, a guide on how to turn the LCDK into a portable battery-operated device, and a comparison of the three DSP boards directly supported by this edition.
Описание: Now in an updated second edition, this easily accessible book presents recent advances in digital signal processing (DSP) that simplify or increase the computational speed of common signal processing operations. The material is practical, real-world, with clever DSP tricks of the trade not covered in conventional DSP textbooks.
Автор: Hayes, Monson H. Название: Statistical digital signal processing and modeling ISBN: 0471594318 ISBN-13(EAN): 9780471594314 Издательство: Wiley Рейтинг: Цена: 45636.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book responds to the dramatic growth in digital signal processing (DSP) over the past decade. While its focal point is signal modeling, the book integrates and explores the relationships of signal modeling to the important problems of optimal filtering, spectral estimation, and adaptive filtering.
Автор: Jan Vanhoof; Karl Van Rompaey; Ivo Bolsens; Gert G Название: High-Level Synthesis for Real-Time Digital Signal Processing ISBN: 1441951342 ISBN-13(EAN): 9781441951342 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Long design times, a high development cost for a low production volume, the lack of silicon designers and the lack of suited design facilities are inherent difficulties to manual full-custom chip design. The gap between system design and silicon design can only be bridged by new design (CAD).
Описание: Shows how to use high-level synthesis techniques to cope with stringent timing requirements of complex high-throughput real-time signal and data processing. This book focuses on domains where application-specific high-speed solutions are attractive such as significant parts of audio, telecom, instrumentation, speech, robotics, medical, and more.
Описание: This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient.
Описание: This volume focuses on the analysis and design of analog signal processing circuits. The author presents a multitude of design techniques to improve the performance of analog signal processing circuits, and proposes specific implementation strategies that can be used in CMOS technology.
Описание: Accelerator Data-Path Synthesis for High-Throughput Signal Processing Applications is the first book to show how to use high-level synthesis techniques to cope with the stringent timing requirements of complex high-throughput real-time signal and data processing.
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