116,99 €
A comprehensive, self-contained treatment of Fourier analysis and wavelets—now in a new edition
Through expansive coverage and easy-to-follow explanations, A First Course in Wavelets with Fourier Analysis, Second Edition provides a self-contained mathematical treatment of Fourier analysis and wavelets, while uniquely presenting signal analysis applications and problems. Essential and fundamental ideas are presented in an effort to make the book accessible to a broad audience, and, in addition, their applications to signal processing are kept at an elementary level.
The book begins with an introduction to vector spaces, inner product spaces, and other preliminary topics in analysis. Subsequent chapters feature:
The development of a Fourier series, Fourier transform, and discrete Fourier analysis
Improved sections devoted to continuous wavelets and two-dimensional wavelets
The analysis of Haar, Shannon, and linear spline wavelets
The general theory of multi-resolution analysis
Updated MATLAB code and expanded applications to signal processing
The construction, smoothness, and computation of Daubechies' wavelets
Advanced topics such as wavelets in higher dimensions, decomposition and reconstruction, and wavelet transform
Applications to signal processing are provided throughout the book, most involving the filtering and compression of signals from audio or video. Some of these applications are presented first in the context of Fourier analysis and are later explored in the chapters on wavelets. New exercises introduce additional applications, and complete proofs accompany the discussion of each presented theory. Extensive appendices outline more advanced proofs and partial solutions to exercises as well as updated MATLAB routines that supplement the presented examples.
A First Course in Wavelets with Fourier Analysis, Second Edition is an excellent book for courses in mathematics and engineering at the upper-undergraduate and graduate levels. It is also a valuable resource for mathematicians, signal processing engineers, and scientists who wish to learn about wavelet theory and Fourier analysis on an elementary level.
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Seitenzahl: 398
Veröffentlichungsjahr: 2011
CONTENTS
Preface and Overview
0 Inner Product Spaces
0.1 Motivation
0.2 Definition of Inner Product
0.3 The Spaces L2 and l2
0.4 Schwarz and Triangle Inequalities
0.5 Orthogonality
0.6 Linear Operators and Their Adjoints
0.7 Least Squares and Linear Predictive Coding
Exercises
1 Fourier Series
1.1 Introduction
1.2 Computation of Fourier Series
1.3 Convergence Theorems for Fourier Series
Exercises
2 The Fourier Transform
2.1 Informal Development of the Fourier Transform
2.2 Properties of the Fourier Transform
2.3 Linear Filters
2.4 The Sampling Theorem
2.5 The Uncertainty Principle
Exercises
3 Discrete Fourier Analysis
3.1 The Discrete Fourier Transform
3.2 Discrete Signals
3.3 Discrete Signals & Matlab
Exercises
4 Haar Wavelet Analysis
4.1 Why Wavelets?
4.2 Haar Wavelets
4.3 Haar Decomposition and Reconstruction Algorithms
4.4 Summary
Exercises
5 Multiresolution Analysis
5.1 The Multiresolution Framework
5.2 Implementing Decomposition and Reconstruction
5.3 Fourier Transform Criteria
Exercises
6The Daubechies Wavelets
6.1 Daubechies’ Construction
6.2 Classification, Moments, and Smoothness
6.3 Computational Issues
6.4 The Scaling Function at Dyadic Points
Exercises
7Other Wavelet Topics
7.1 Computational Complexity
7.2 Wavelets in Higher Dimensions
7.3 Relating Decomposition and Reconstruction
7.4 Wavelet Transform
Appendix A: Technical Matters
AppendixB: SolutionstoSelected Exercises
AppendixC: MATLAB®Routines
Bibliography
Index
Copyright © 2009 by John Wiley & Sons, Inc. All rights reserved
Published by John Wiley & Sons, Inc. Hoboken, New Jersey
Published simultaneously in Canada
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Library of Congress Cataloging-in-Publication Data:
Boggess, Albert.A first course in wavelets with fourier analysis / Albert Boggess, Francis J. Narcowich. – 2nd edp. cm.Includes bibliographical references and index.ISBN 978-0-470-43117-7 (cloth)1. Wavelets (Mathematics) 2. Fourier analysis. I. Narcowich, Francis J. II. Title.QA403.3.B64 2009515′.2433–dc222009013334
