Multiresolution Signal Decomposition: Transforms, Subbands, & Wavelets
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Book Overview
This book provides an in-depth, integrated, and up-to-date exposition of the topic of signal decomposition techniques. Application areas of these techniques include speech and image processing, machine vision, information engineering, high-density TV, and telecommunications. The book aims to serve as a major reference for those entering the field, instructors teaching some or all of the topics in an advanced graduate course, and researchers needing to consult an authoritative source.
Format:Hardcover
Language:English
ISBN:012047140X
ISBN13:9780120471409
Release Date:October 1992
Publisher:Academic Press
Length:376 Pages
Weight:1.85 lbs.
Dimensions:0.9" x 8.0" x 9.6"
Customer Reviews
3 ratings
pages 53-84 missing
Published by Thriftbooks.com User , 19 years ago
In my book pages 53-84 are missing. They are occupied by pages 17-48. Nothing's been ripped out.
Most comprehensive book on multiresolution transforms
Published by Thriftbooks.com User , 22 years ago
It is the most comprehensive book on multiresolution transforms and state-of-the-art applications. It provides the theoretical depth without getting lost in the math. It leads the reader to the popular communications and multimedia applications of transforms like DCT, wavelets and filter banks. Akansu & Haddad need to be saluted for their clarity in a field where hype-let has been the fashion.2nd Edition of the book is a "MUST" classic in multiresolution signals and transforms as a reference volume for researchers and engineering students.
Good core book for wavelets
Published by Thriftbooks.com User , 24 years ago
This book does a good job at providing a unified framework both for wavelets and subband filtering and decomposition, and so I would give it 5 stars were not for it only covers biorthogonal filters in the last chapter, and at the very last moment. If you need to understand how wavelets are related to filtering, signal processing and signal compression, this is your book, but it's not specific to any of this fields, and is very 1D oriented, with 2D processing only mentioned.
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