Genetic algorithm wavelet design for signal classification

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Jones, E; Runkle, P; Dasgupta, N; Couchman, L; Carin, L

Published Date

  • August 1, 2001

Published In

Volume / Issue

  • 23 / 8

Start / End Page

  • 890 - 895

International Standard Serial Number (ISSN)

  • 0162-8828

Digital Object Identifier (DOI)

  • 10.1109/34.946991

Citation Source

  • Scopus