Genetic algorithms for adaptive wavelet design
Gene A. Tagliarini, Edward W. Page, Robert E. Karlsen, Grant R. Gerhart · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
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.