Genetic Algorithm Wavelet Design for Signal Classification

Abstract

ÐBiorthogonal wavelets are applied to parse multiaspect transient scattering data in the context of signal classification. A language-based genetic algorithm is used to design wavelet filters that enhance classification performance. The biorthogonal wavelets are implemented via the lifting procedure and the optimization is carried out using a classification… (More)
DOI: 10.1109/34.946991

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Cite this paper

@article{Jones2001GeneticAW, title={Genetic Algorithm Wavelet Design for Signal Classification}, author={Eric Jones and Paul Runkle and Nilanjan Dasgupta and Luise Couchman and Lawrence Carin}, journal={IEEE Trans. Pattern Anal. Mach. Intell.}, year={2001}, volume={23}, pages={890-895} }