Multiresolution Signal Decomposition. Transforms, Subbands, and Wavelets

✍ Scribed by Paul R. Haddad and Ali N. Akansu (Auth.)

• Publisher: Academic Press
• Year: 1993
• Tongue: English
• Leaves: 377
• Edition: 1st
• Category: Library

✦ Synopsis

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-Definition Television, and telecommunications. The book will serve as the 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.

n The first book to give a unified and coherent exposition of multiresolutional signal decomposition techniques
n Classroom tested textbook clearly describes the commonalities among three key methods-transform coding, and wavelet transforms
n Gives comparative performance evaluations of many proposed techniques

✦ Table of Contents

Content:
TELECOMMUNICATIONS: A Book Series, Page ii
Front Matter, Page iii
Copyright, Page iv
Dedication, Page v
Preface, Pages xi-xii
Chapter 1 - Introduction, Pages 1-7
Chapter 2 - Orthogonal Transforms, Pages 9-99
Chapter 3 - Theory of Subband Decomposition, Pages 101-239
Chapter 4 - Filterbank Families: Design and Performance, Pages 241-290
Chapter 5 - Wavelet Transform, Pages 291-351
Appendix A - Resolution of the Identity and Inversion, Pages 353-355
Appendix B - Orthonormality in Frequency, Pages 357-358
Appendix C - Problems, Pages 359-372
Index, Pages 373-376