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Proceedings Paper

Genetic algorithms for adaptive wavelet design
Author(s): Gene A. Tagliarini; Edward W. Page; Robert E. Karlsen; Grant R. Gerhart
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Paper Abstract

Appropriately designed wavelets possess great potential for simplifying the information processing requirements of pattern recognition or digital audio and video systems. In order to be effective, it is crucial to match the properties of the wavelets with those of the signals being processed. We have developed a genetic algorithm to design wavelets adaptively by exploiting a wavelet parameterization to search for wavelets that are suited to specific applications. In particular, we have shown how a genetic algorithm can be used to find wavelets whose transforms possess desirable properties and we have demonstrated that genetic algorithm can be used to match a wavelet to signals of interest.

Paper Details

Date Published: 22 March 1996
PDF: 12 pages
Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); doi: 10.1117/12.235983
Show Author Affiliations
Gene A. Tagliarini, Neural Technology, Inc. (United States)
Edward W. Page, Neural Technology, Inc. (United States)
Robert E. Karlsen, U.S. Army Tank-Automotive Command (United States)
Grant R. Gerhart, U.S. Army Tank-Automotive Command (United States)


Published in SPIE Proceedings Vol. 2762:
Wavelet Applications III
Harold H. Szu, Editor(s)

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