Title: Wavelets: A Tutorial in Theory and Applications (Wavelet Analysis and Its Applications)
Publisher: Academic Press
Publication Date: 1992
Language: English
ISBN 10: 0121745902
ISBN 13: 9780121745905
Binding: hardcover
Condition: New
Weight: 41 ounces

About this title

Synopsis

Wavelets: A Tutorial in Theory and Applications is the second volume in the new series WAVELET ANALYSIS AND ITS APPLICATIONS. As a companion to the first volume in this series, this volume covers several of the most important areas in wavelets, ranging from the development of the basic theory such as construction and analysis of wavelet bases to an introduction of some of the key applications, including Mallat's local wavelet maxima technique in second generation image coding. A fairly extensive bibliography is also included in this volume.

Key Features
* Covers several of the most important areas in wavelets, ranging from the development of the basic theory, such as:
* Construction and analysis of wavelet bases, and
* Introduction of some of the key applications, including Mallat's local wavelet maxima technique in second generation image coding
* Extensive bibliography is also included in this volume
* Companion to the first volume in this series, An Introduction to Wavelets, and can be used as supplementary instructional material for a two-semester course on wavelet analysis

From the Back Cover

Wavelets: A Tutorial in Theory and Applications is the second volume in the new series Wavelet Analysis and Its Applications. This is an edited volume of twenty-two chapters authored by various experts in the field. It covers several of the most important areas in wavelets, ranging from the development of the basic theory, such as construction and analysis of wavelet bases, to an introduction of some of the key applications, includling Mallat's local wavelet maxima technique in second generation image coding. A fairly extensive bibliography is also included in this volume. It is a companion to the first volume in this series, An Introduction to Wavelets, and can be used as supplementary instructional material for a two-semester course on wavelet analysis.

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