Wavelets and Subband Coding: Amazon.ca: Martin Vetterli, Jelena Kovacevic: Books

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Book Description

A central goal of signal processing is to describe real-time signals, be it for computation, compression, or understanding. This book presents a unified view of wavelets and subband coding with a signal processing perspective. Covers the discrete-time case, or filter banks; development of wavelets; continuous wavelet and local Fourier transforms; efficient algorithms for filter banks and wavelet computations; and signal compression.

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A central goal of signal processing is to describe real-time signals, be it for computation, compression, or understanding. This book presents a unified view of wavelets and subband coding with a signal processing perspective. Covers the discrete-time case, or filter banks; development of wavelets; continuous wavelet and local Fourier transforms; efficient algorithms for filter banks and wavelet computations; and signal compression.

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Customer Reviews

5 Reviews

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Average Customer Review

3.6 out of 5 stars (5 customer reviews)

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5.0 out of 5 stars Engineering, CS, programming, math..., Feb 12 2003

By

Palle E T Jorgensen "Palle Jorgensen" (Iowa City, Iowa United States) - See all my reviews
(REAL NAME)

This review is from: Wavelets and Subband Coding (Hardcover)

There are few books that sucessfully cover the interface of diverse fields, and yet this lovely book represents a subject that thrives on the interconnections. It is a great textbook, and it works well for selfstudy. The two subjects wavelets and subband filtering [from signal processing] are quite different, and have distinct and independent lives, they have different aims, and different histories. And yet, it is the happy marriage of the two that enriches the the union to an extraordinary degree. Multiresolutions are the bread and butter of wavelet algorithms, and they thrive on methods from signal processing, the quadrature-mirror filter construction, for example. One reason some books in the subject miss the target is that most authors know one of the subjects well, but not the others. Diverse subjects have quite different languages, and different terminology. The present authors are indeed on target, and they know it all. They come from engineering, but they know all the math;--the connections are made. And they strike a balance: Engineers can find what they want for the practical problems, and the mathematicians will not be disappointed. Programmers can pick up what is needed in their world. The book has been tested in courses, including mine. If you pick it for a course, the authors have material on their web pages that serves as a wonderful supplement. Lovely!

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2.0 out of 5 stars Hurried, incomplete mathematical treatment and undefined, May 28 2002

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"fastwind" (San Diego, CA USA) - See all my reviews

This review is from: Wavelets and Subband Coding (Hardcover)

The authors look hurried to catch the wave of wavelets and compiled hot topics of the publication date without almost any logical order. Lots of material taken from others' papers without generosity in the references. The book is missing to tell readers its purpose! Is it a mathematical treatment of wavelet transforms or an engineering book? I could not answer this question as a doctoral student. It's very much like a Ph.D. dissertation of the second author. Frankly, I was disappointed with the quality of the book from a known researcher like Prof. Vetterli.

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3.0 out of 5 stars Almost a great book, Aug 29 2000

By A Customer

This review is from: Wavelets and Subband Coding (Hardcover)

One get's the feeling that this is the outline for the definitive book on wavelets. But the authors can't make up there minds whether the book should be mostly theoretical or merely useful. A great deal of why and what - and not too much how to. Hopefully there will be another, more insightful edition.

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Most recent customer reviews

4.0 out of 5 stars The faithful shall be rewarded
Martin Vetterli is the foremost researcher in the area of wavelets in signal processing, and one of the best presenters whom I've met. Read more

Published on July 6 2000 by Julius Kusuma

4.0 out of 5 stars Wonderful explanation of various image compression ftns
Graduate-level signal-processing math, but good explanations of image FFTs and MPEG video compression, etc.

Published on Sep 1 1999