Genetic algorithms for adaptive wavelet design

Gene A. Tagliarini; Edward W. Page; Robert E. Karlsen; Grant R. Gerhart

doi:10.1117/12.235983

22 March 1996 Genetic algorithms for adaptive wavelet design

Gene A. Tagliarini, Edward W. Page, Robert E. Karlsen, Grant R. Gerhart

Proceedings Volume 2762, Wavelet Applications III; (1996) https://doi.org/10.1117/12.235983
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

Gene A. Tagliarini, Edward W. Page, Robert E. Karlsen, and Grant R. Gerhart "Genetic algorithms for adaptive wavelet design", Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); https://doi.org/10.1117/12.235983

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