This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780817642358.

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Bibliographic Details

Title

Applied and Numerical Harmonic Analysis: Wavelets and Signal Processing

Publisher

Birkh�user

Publication Date

2003

Language

English

ISBN 10

0817642358

ISBN 13

9780817642358

Binding

Hardcover

Condition

Good

Weight

900 grams

Seller catalogs

Engineering

About this title

Synopsis

Provides a digest of the current developments, open questions and unsolved problems likely to determine a new frontier for future advanced study and research in the rapidly growing areas of wavelets, wavelet transforms, signal analysis, and signal and image processing. Key topics covered include multivariate wavelets, wavelet transforms, time-frequency signal analysis, self-similarity and intermittency problems in turbulence, wavelet image compression, class of band-limited wavelets and multiresolution analysis. For advanced students, practitioners, and professionals working in electrical/computer engineering, applied mathematics, computer science, biomedical engineering, physics, optics and fluid mechanics.

Review

"The Editor of this volume has performed a commendable job of compiling a set of articles, a majority of which can be branded as excellent, into a single volume, which includes state-of-the-art theoretical results as well as some applications. The book will be useful for researchers as well as practicing professionals, not only because of its contents, but also because of the fact that it provides directions for future developments." ―Journal of the Indian Institute of Science

"A mathematically sound and self-contained presentation on recent advances in the highly applicable field of Gabor analysis.... This book is a must for all interested in signal analysis, and, of course, in particular in Gabor analysis." ―Monatschefte f�r Mathematik

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