Wavelets and Filter Banks

by Gilbert Strang, Truong Nguyen, T. Nguyen

Overview

This book explains wavelets to both engineers and mathematicians. It approaches the subject with a major emphasis on the filter structures attached to wavelets. Those filters are the key to algorithmic efficiency and they are well developed throughout signal processing. Now they make possible major achievements in data analysis and compression. The explanations of difficult topics are direct, rigorous and very approachable. Many practical applications are discussed. The book is ideal as an introduction to the principles of wavelets and as a reference for the analysis and applications. Also included in Wavelets and Filter Banks are many examples to make effective use of the MATLAB Wavelet Toolbox.

Product Details

ISBN-13:	9780961408879
Publisher:	Wellesley-Cambridge Press
Publication date:	10/01/1996
Edition description:	New Edition
Pages:	500
Product dimensions:	6.90(w) x 10.00(h) x 1.20(d)

About the Author

Gilbert Strang received his Ph.D. from UCLA and since then he has taught at MIT. He has been a Sloan Fellow and a Fairchild Scholar and is a Fellow of the American Academy of Arts and Sciences. He is a Professor of Mathematics at MIT and an Honorary Fellow of Balliol College. Professor Strang has published eight textbooks. He received the von Neumann Medal of the US Association for Computational Mechanics, and the Henrici Prize for applied analysis. The first Su Buchin Prize from the International Congress of Industrial and Applied Mathematics, and the Haimo Prize from the Mathematical Association of America, were awarded for his contributions to teaching around the world.

Truong Nguyen came to the Jacobs School in 2001. He manages the Video Processing Group, and teaches courses associated with the Signal Image Processing Program (SIP). He is a 1995 recipient of an NSF career award and is author of several MATLAB-based toolboxes on image compression, electrocardiogram compression, and filter bank design. He also holds a patent on an efficient design method for wavelets and filter banks and several patents on wavelet applications including compression and signal analysis. He received his Ph.D. from Caltech in 1989.

Table of Contents

1. Introduction; 2. Filters; 3. Downsampling and upsampling; 4. Filter banks; 5. Orthogonal filter banks; 6. Multiresolution; 7. Wavelet theory; 8. Finite length signals; 9. M-channel filter banks; 10. Design methods; 11. Applications; The discrete cosine transform; The lifting scheme; Block transforms in image coding.