Overview

Analog & Digital Signal Processing: A Computational Approach provides a thorough yet mathematically accessible introduction to signal processing. With the increasing presence of digital signal processing (DSP) in everyday life, in the form of devices such as CD and DVD players, digital cameras, wireless telephones, and voice recognition, it has accordingly become a central element in the design of a variety of systems and applications. This book responds to this trend by presenting readers with a strong foundation of fundamental DSP concepts and designs. Unlike traditional DSP books, a computational approach is used to help readers spend less time deciphering mathematical complexities and more time implementing practical DSP techniques. MATLAB, an industry favorite scientific software package, is used to conduct the computations of the concepts discussed. With coverage of introductory concepts such as sampling, frequency analysis, transfer functions, and filter design, as well as advanced topics like statistical signal processing, adaptive filters, image processing, and wavelet analysis, this is an ideal resource for readers of all levels who are seeking a comprehensive understanding of relevant DSP concepts for today's industry professionals.

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9781418041731

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Rick Henderson, DeVry, Kansas City, MO: The authoras tone and writing style are very good and relatively easy to understand. The chapter introductions are concise and well stated. The explanation of the topics is well written and should be able to be understood by an average undergraduate student. The tone is non-threatening and written on a aletas figure this outa explanatory approach. The top three strengths of this book are the authoras ability to describe the concepts, the range of choice of topics included in the book and the degree and breadth of the Matlab examples.

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