Genetic algorithm wavelet design for signal classification

Eric Jones, Paul Runkle, Nilanjan Dasgupta, Luise Couchman, Lawrence Carin

Research output: Contribution to journalArticlepeer-review

35 Scopus citations


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.
Original languageEnglish (US)
Pages (from-to)890-895
Number of pages6
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Issue number8
StatePublished - Aug 1 2001
Externally publishedYes


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