Wavelet Analysis - The Scalable Structure of Information (Hardcover, 1st ed. 1998. Corr. 2nd printing 2002)

The past decade has witnessed the rapid development of a new mathematical tool, called wavlet analysis, for analyzing complex signals. It has begin to play a serious role in applications ranging from communications to geophysics, and from simulations to image processing. Like Fourier analysis (of which it is a generalization), or musical notation, wavelet analysis provides a method for representing a set of complex phenomena in a simpler, more compact, and thus more efficient manner. This text introduces the ideas and methods of wavelet analysis, relates them to previously known methods in mathematics and engineering, and shows how to apply wavelet analysis to digital signal processing. It begins by describing the multiscale (sometimes called "fractal") nature of information in many aspects of thereal world; it then turns to the algebra and analysis of wavelet matrices, scaling and wavelet functions, and the corresponding analysis of square-integrable functins on a space. The discussion then turns from the continuous to the discrete and shows how a properly selected set of wavelets can be used to represent -- and even differentiate -- a wide range of signls efficiently and effectively. The last part of the book presents a wide variety of applications of wavelets to probllems in data compression and telecommunications.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	February 2002
First published:	1998
Authors:	Howard L Resnikoff • Raymond O., Jr. Wells
Dimensions:	235 x 155 x 25mm (L x W x T)
Format:	Hardcover
Pages:	435
Edition:	1st ed. 1998. Corr. 2nd printing 2002
ISBN-13:	978-0-387-98383-7
Categories:	Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	0-387-98383-X
Barcode:	9780387983837

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