Applied Signal Processing: A MATLABTM-Based Proof of Concept

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Springer Science & Business Media, Jun 10, 2010 - Technology & Engineering - 456 pages
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Applied Signal Processing: A MATLAB-Based Proof of Concept benefits readers by including the teaching background of experts in various applied signal processing fields and presenting them in a project-oriented framework. Unlike many other MATLAB-based textbooks which only use MATLAB to illustrate theoretical aspects, this book provides fully commented MATLAB code for working proofs-of-concept. The MATLAB code provided on the accompanying online files is the very heart of the material. In addition each chapter offers a functional introduction to the theory required to understand the code as well as a formatted presentation of the contents and outputs of the MATLAB code.

Each chapter exposes how digital signal processing is applied for solving a real engineering problem used in a consumer product. The chapters are organized with a description of the problem in its applicative context and a functional review of the theory related to its solution appearing first. Equations are only used for a precise description of the problem and its final solutions. Then a step-by-step MATLAB-based proof of concept, with full code, graphs, and comments follows. The solutions are simple enough for readers with general signal processing background to understand and they use state-of-the-art signal processing principles. Applied Signal Processing: A MATLAB-Based Proof of Concept is an ideal companion for most signal processing course books. It can be used for preparing student labs and projects.

 

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Contents

Chapter 1
1
speech
13
33
32
Chapter 3
65
Chapter 4
103
Chapter 5
149
187
186
Chapter 7
223
Chapter 8
265
Chapter 9
311
Chapter 11
411
Index
451
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About the author (2010)

Thierry Dutoit graduated as an electrical engineer and PhD from the FacultA(c) Polytechnique de Mons, Belgium, in 1988 and 1993, respectively. He is now assistant professor at the FacultA(c) Polytechnique de Mons and consultant for AT&T Labs Research in Murray Hill, New Jersey, USA. He is the author of the widely acclaimed MBROLA high quality free speech synthesis project.

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