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- W2108376629 abstract "Biorthogonal 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-based cost function. Example results are presented for target classification using measured scattering data." @default.
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- W2108376629 date "2001-01-01" @default.
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- W2108376629 title "Genetic algorithm wavelet design for signal classification" @default.
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- W2108376629 doi "https://doi.org/10.1109/34.946991" @default.
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