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Digital Signal Processing, Zahir M. Hussain; Amin Z. Sadik; Peter O`Shea


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Цена: 23508.00р.
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Автор: Zahir M. Hussain; Amin Z. Sadik; Peter O`Shea
Название:  Digital Signal Processing
ISBN: 9783642437342
Издательство: Springer
Классификация:


ISBN-10: 3642437346
Обложка/Формат: Paperback
Страницы: 350
Вес: 0.52 кг.
Дата издания: 21.11.2014
Язык: English
Размер: 234 x 156 x 20
Основная тема: Engineering
Подзаголовок: An Introduction with MATLAB and Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: As well as serving as a general reference on digital signal processing, this book contributes to the advancement of engineering education in its discussion of core topics, essential applications, signal processing and more advanced DSP techniques.


Digital Signal Processing with Field Programmable Gate Arrays

Автор: Meyer-Baese
Название: Digital Signal Processing with Field Programmable Gate Arrays
ISBN: 3540726128 ISBN-13(EAN): 9783540726128
Издательство: Springer
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Цена: 12571.00 р.
Наличие на складе: Поставка под заказ.

Описание: Field-Programmable Gate Arrays (FPGAs) are revolutionizing digital signal processing as novel FPGA families are replacing ASICs and PDSPs for front-end digital signal processing algorithms. So the efficient implementation of these algorithms is critical and is the main goal of this book. It starts with an overview of today's FPGA technology, devices, and tools for designing state-of-the-art DSP systems. A case study in the first chapter is the basis for more than 40 design examples throughout. The following chapters deal with computer arithmetic concepts, theory and the implementation of FIR and IIR filters, multirate digital signal processing systems, DFT and FFT algorithms, advanced algorithms with high future potential, and adaptive filters. Each chapter contains exercises. The VERILOG source code and a glossary are given in the appendices, while the accompanying CD-ROM contains the examples in VHDL and Verilog code as well as the newest Altera "Quartus II web edition" software. This edition has a new chapter on microprocessors, new sections on special functions using MAC calls, intellectual property core design and arbitrary sampling rate converters, and over 100 new exercises.

Digital Signal Processing with Field Programmable Gate Arrays

Автор: Meyer-Baese Uwe
Название: Digital Signal Processing with Field Programmable Gate Arrays
ISBN: 3642453082 ISBN-13(EAN): 9783642453083
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book will help readers to efficiently implement front-end digital signal processing algorithms. It features a case study and more than 40 design examples.

Digital Signal Processing with Matlab Examples, Volume 1

Автор: Jose Maria Giron-Sierra
Название: Digital Signal Processing with Matlab Examples, Volume 1
ISBN: 9811025339 ISBN-13(EAN): 9789811025334
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study.

Digital signal processing and spectral analysis for scientists.

Название: Digital signal processing and spectral analysis for scientists.
ISBN: 3319254669 ISBN-13(EAN): 9783319254661
Издательство: Springer
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Цена: 15372.00 р.
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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.

Digital Signal Processing in Power System Protection and Control

Автор: Waldemar Rebizant; Janusz Szafran; Andrzej Wisznie
Название: Digital Signal Processing in Power System Protection and Control
ISBN: 1447126807 ISBN-13(EAN): 9781447126805
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This book connects the theory of protection and control with practical applications of protection equipment. Covers basic theory, digital algorithms for signal filtering, plus advantages and drawbacks of fuzzy logic-based schemes, neural networks and more.

Digital Signal Processing with Matlab Examples, Volume 2

Автор: Jose Maria Giron-Sierra
Название: Digital Signal Processing with Matlab Examples, Volume 2
ISBN: 9811025363 ISBN-13(EAN): 9789811025365
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This is the second volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This second book focuses on recent developments in response to the demands of new digital technologies. It is divided into two parts: the first part includes four chapters on the decomposition and recovery of signals, with special emphasis on images. In turn, the second part includes three chapters and addresses important data-based actions, such as adaptive filtering, experimental modeling, and classification.

Digital Signal Processing with Matlab Examples, Volume 3

Автор: Jose Maria Giron-Sierra
Название: Digital Signal Processing with Matlab Examples, Volume 3
ISBN: 9811025398 ISBN-13(EAN): 9789811025396
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This is the third volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed.The book primarily focuses on filter banks, wavelets, and images. While the Fourier transform is adequate for periodic signals, wavelets are more suitable for other cases, such as short-duration signals: bursts, spikes, tweets, lung sounds, etc. Both Fourier and wavelet transforms decompose signals into components. Further, both are also invertible, so the original signals can be recovered from their components. Compressed sensing has emerged as a promising idea. One of the intended applications is networked devices or sensors, which are now becoming a reality; accordingly, this topic is also addressed. A selection of experiments that demonstrate image denoising applications are also included. In the interest of reader-friendliness, the longer programs have been grouped in an appendix; further, a second appendix on optimization has been added to supplement the content of the last chapter.


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