Multiresolution signal decomposition : transforms, subbands, and wavelets / Ali N. Akansu and Richard A. Haddad.

Format:

Book

Author/Creator:

Akansu, Ali N., 1958-

Contributor:

Haddad, Richard A.

Series:

Telecommunications (Boston, Mass.)

Telecommunications

Language:

English

Subjects (All):

Signal processing--Digital techniques.

Signal processing.

Coding theory.

Physical Description:

1 online resource (389 p.)

Place of Publication:

Boston : Academic Press, c1992.

Language Note:

English

Summary:

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 decompos

Contents:

Front Cover; Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets; Copyright Page; Table of Contents; Preface; Chapter 1. Introduction; 1.1 Introduction; 1.2 Why Signal Decomposition?; 1.3 Decompositions: Transforms, Subbands, and Wavelets; 1.4 Performance Evaluation; Chapter 2. Orthogonal Transforms; 2.1 Signal Expansions in Orthogonal Functions; 2.2 Transform Efficiency and Coding Performance; 2.3 Fixed Transforms; 2.4 Parametric Modeling of Signal Sources; 2.5 Lapped Orthogonal Transforms; 2.6 2D Transform Implementation; 2.7 Summary

Chapter 3. Theory of Subband Decomposition3.1 Multirate Signal Processing; 3.2 Bandpass and Modulated Signals; 3.3 Mth Band, Mirror, and Power Complementary Filters; 3.4 Two-Channel Filter Banks; 3.5 M-Band Filter Banks; 3.6 Cascaded Lattice Structures; 3.7 IIR Subband Filter Banks; 3.8 Two-Dimensional Subband Decomposition; 3.9 Quantization Effects in Filter Banks; 3.10 Summary; Chapter 4. Filterbank Families: Design and Performance; 4.1 Binomial QMF-Wavelet Filters; 4.2 Maximally Flat Filters; 4.3 Bernstein QMF-Wavelet Filters; 4.4 Johnston QMF Family; 4.5 Smith-Barnwell PR-CQF Family

4.6 LeGall-Tabatabai PR Filter Bank4.7 Princen-Bradley QMF; 4.8 Optimal PR-QMF Design for Subband Image Coding; 4.9 Performance of PR-QMF Families; 4.10 Aliasing Energy in Multiresolution Decomposition; 4.11 Time and Frequency Localizations; 4.12 GTC and NER Performance; 4.13 Summary; Chapter 5. Wavelet Transform; 5.1 Time-Frequency Decompositions; 5.2 The Short-Time Fourier Transform; 5.3 The Wavelet Transform; 5.4 Multiresolution Signal Decomposition; 5.5 Wavelet Regularity and Wavelet Families; 5.6 Biorthogonal Wavelets and Filter Banks; 5.7 Discussions and Conclusion; 5.8 Epilogue

Appendix A: Resolution of the Identity and InversionAppendix B: Orthonormality in Frequency; Appendix C: Problems; Index

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

0-323-13836-5

1-299-19462-1

OCLC:

829460202