Adapted Wavelet Analysis

From Theory to Software

Mladen Victor Wickerhauser

$357

Hardback

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English

A K Peters
17 April 1996

Calculus & mathematical analysis; Applied mathematics; Wave mechanics (vibration & acoustics)

This detail-oriented text is intended for engineers and applied mathematicians who must write computer programs to perform wavelet and related analysis on real data. It contains an overview of mathematical prerequisites and proceeds to describe hands-on programming techniques to implement special programs for signal analysis and other applications. From the table of contents: - Mathematical Preliminaries - Programming Techniques - The Discrete Fourier Transform - Local Trigonometric Transforms - Quadrature Filters - The Discrete Wavelet Transform - Wavelet Packets - The Best Basis Algorithm - Multidimensional Library Trees - Time-Frequency Analysis - Some Applications - Solutions to Some of the Exercises - List of Symbols - Quadrature Filter Coefficients

By: Mladen Victor Wickerhauser
Imprint: A K Peters
Country of Publication: United States
Dimensions: Height: 229mm, Width: 152mm, Spine: 35mm
Weight: 771g
ISBN: 9781568810416
ISBN 10: 1568810415
Pages: 498
Publication Date: 17 April 1996
Audience: College/higher education , Professional and scholarly , Professional & Vocational , A / AS level , Further / Higher Education
Format: Hardback
Publisher's Status: Active

Mladen Victor Wickerhauser is professor of mathematics and statistics at Washington University, St. Louis. He holds a PhD from Yale University. Professor Wickerhauser’s research interests include harmonic analysis, wavelets, and numerical algorithms for data compression. He has six US patents and 118 publications, one of which led to an algorithm used by the FBI to encode fingerprint images.