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Wavelet Transforms and Their Applications [Hardcover]

Lokenath Debnath (Author)

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Book Description

0817642048 978-0817642044 November 16, 2001 1

Wavelets allow complex information such as music, speech, images, and patterns to be decomposed into elementary forms—called the fundamental building blocks at different positions and scales—and, subsequently, reconstructed with high precision. With an increasedr demand for mathematical tools to provide both theory and applications for science and engineering, the utility and interest in wavelet analysis seem more clearly established than ever.

Wavelet Transforms and Their Applications places a major emphasis on the logical development of fundamental ideas and systematic treatment of wavelet analysis and its applications to a wide variety of problems as encountered in various interdisciplinary areas. The book contains a large number of examples, which are either directly associated with applications or formulated in terms of the mathematical, physical, and engineering context in which theory arises.

While other textbooks aim at a mathematically mature audience, this book is an introduction to wavelet transforms and accessible to a larger audience with diverse backgrounds and interests in mathematics, science, and engineering.

Topics and Features:

* Presents major developments in wavelets, wavelet transforms, Gabor transforms, the Wigner–Ville distribution, multiresolution analysis, harmonic wavelets, and their applications to time-frequency signal analysis and turbulence

* Uses knowledge of Fourier transforms, some elementary ideas of Hilbert spaces, and orthonormal systems to develop the theory and applications of wavelet analysis

* Offeres detailed and clear explanations of every concept and method, accompanied by carefully selected worked examples, with special emphasis given to those topics in which students typically experience difficulty

* Includes carefully chosen end-of-chapter excercises and provides answers to selected exercises for additional help.

Mathematicians, physicists, computer engineers, and electrical and mechanical engineers will find this book an exceptionally complete and accessible text and reference. It is also suitable as a self-study or reference guide for practitioners and professionals.


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Editorial Reviews

Review

"It contains a wealth of information that should make it useful in signal processing and perhaps some other areas of engineering . . . I like the book as a possible text for a beginning graduate course in, say, mathematical methods in engineering. It covers a number of topics that are quite useful but are rarely covered in mainstream mathematics courses . . . a lot of the proofs are short and computational, which is necessary in such a book that covers a large number of topics . . . it would serve as a good text, provided that the aim of the course is to present a variety of transforms useful in signal processing, as well as the wavelet transforms."

—Mathematical Reviews

"The last two decades have produced tremendous developments in the mathematical theory of wavelets and their great variety of applications. Since wavelet analysis is a relatively new subject, this monograph is intended to be self-contained. The book is designed as a modern and authoritative guide to wavelets, wavelet transform, time-frequency signal analysis and related topics.

It is known that some research workers look upon wavelets as a new basis for representing functions, others consider them as a technique for time-frequency analysis and some others think of them as a new mathematical subject. All these approaches are gathered in this book, which presents an accessible, introductory survey of new wavelet analysis tools and the way they can be applied to fundamental analysis problems. We point out the clear, intuitive style of [the] presentation, and the numerous examples demonstrated through[out] the book illustrate how methods work in a step-by-step manner.

This way, the book becomes ideal for a broad audience including advanced undergraduate students, graduate[s] and professionals in signal processing. Also, the book provides the reader with a thorough mathematical background, and the wide variety of applications cover the interdisciplinary collaborative research in applied mathematics."

—Revue D’Analyse Numérique et de Théorie de L’Approximation

From the Back Cover

This volume is designed as a new source for modern topics dealing with wavelets, wavelet transforms time-frequency signal analysis and other applications for future development of this new, important and useful subject for mathematics, science and engineering. Its main features include:
A broad coverage of recent material on wavelet analysis, and time-frequency signal analysis and other applications that are not usually covered in other recent reference books.
The material presented in this volume brings together a rich variety of ideas that blend most aspects of the subject mentioned above.
This volume brings together a detailed account of major recent developments in wavelets, wavelet transforms and time-frequency signal analysis.
This volume provides the reader with a thorough mathematical background and a wide variety of applications that are sufficient to do interdisciplinary collaborative research in applied mathematics.
The book provides information that puts the reader at the forefront of the current resarch. An up-to-date bibliography is included at the end of each chapter to stimulate new interest in future study and research.

--This text refers to an alternate Hardcover edition.

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Inside This Book (learn more)
First Sentence:
Historically, Joseph Fourier (1770-1830) first introduced the remarkable idea of expansion of a function in terms of trigonometric series without giving any attention to rigorous mathematical analysis. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
adaptive wavelet method, approximate identity theorem, harmonic wavelets, radar signal analysis, radar uncertainty principle, cross ambiguity function, summability kernel, wavelet transform analysis, complete orthonormal sequence, orthonormal wavelet bases, dyadic number, frame operator, ambiguity functions, nonstationary signals, scaling function, multiresolution analysis, inner product space, isometric operator, coherent vortices, complete orthonormal system, wavelets form, continuous wavelet transform, dual frame, wavelet analysis, mother wavelet
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Find the Wigner-Ville, David Hilbert, Yves Meyer, Complex Conjugation
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