Multiresolution Signal Decomposition

 

Multiresolution Signal Decomposition - Transforms, Subbands, and Wavelets 2nd ed

Hardbound, 499 pages, publication date: OCT-2000
ISBN-13: 978-0-12-047141-6
ISBN-10: 0-12-047141-8

Imprint: ACADEMIC PRESS
By
Ali Akansu, New Jersey Institute of Technology, Newark, New Jersey
Paul Haddad, Polytechnic University, Brooklyn, New York, U.S.A

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Description
The uniqueness of this book is that it covers such important aspects of modern signal processing as block transforms from subband filter banks and wavelet transforms from a common unifying standpoint, thus demonstrating the commonality among these decomposition techniques. In addition, it covers such @qu:”hot” areas as signal compression and coding, including particular decomposition techniques and tables listing coefficients of subband and wavelet filters and other important properties. The field of this book (Electrical Engineering/Computer Science) is currently booming, which is, of course, evident from the sales of the previous edition. Since the first edition came out there has been much development, especially as far as the applications. Thus, the second edition addresses new developments in applications-related chapters, especially in chapter 4 “Filterbrook Families: Design and Performance,” which is greatly expanded.

Audience
This book is intended for graduate students and R&D practitioners engaged in signal processing applications in voice and image processing, multimedia, and telecommunications. It assumes a background in linear systems and Fourier analysis, some linear algebra, random signals, and an introductory course in digital signal processing.

Contents
1. Introduction 2. Orthogonal Transforms 3. Theory of Subband Decomposition 4. Filter Bank Families: Design and Performance 5. Time-Frequency Representations 6. Wavelet Transform 7. Applications A. Resolution of the Identity and Inversion B. Orthonormality in Frequency C. Problems

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