Adapted Wavelet Analysis
From Theory to Software
Published on 17. April 1996
498 pages
978-1-040-18681-7 (ISBN)
Description
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.
More details
Language
English
Place of publication
Florida
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
File size
10,58 MB
ISBN-13
978-1-040-18681-7 (9781040186817)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
12/2019
1st Edition
CRC Press
€95.50
Shipment within 15-20 days
Book
04/1996
1st Edition
A K Peters
€263.90
Shipment within 3-4 weeks
Person
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.
Content
1. Mathematical Preliminaries 2. Programming Techniques 3. The Discrete Fourier Transform 4. Local Trigonometric Transforms 5. Quadrature Filters 6. The Discrete Wavelet Transform 7. Wavelet Packets 8. The Best Basis Algorithm 9. Multidimensional Library Trees 10. Time-Frequency Analysis 11. Some Applications
