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Genetic algorithm wavelet design for signal classification

Publication ,  Journal Article
Jones, E; Runkle, P; Dasgupta, N; Couchman, L; Carin, L
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence
August 1, 2001

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.

Duke Scholars

Published In

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

ISSN

0162-8828

Publication Date

August 1, 2001

Volume

23

Issue

8

Start / End Page

890 / 895

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4611 Machine learning
  • 4603 Computer vision and multimedia computation
  • 0906 Electrical and Electronic Engineering
  • 0806 Information Systems
  • 0801 Artificial Intelligence and Image Processing
 

Citation

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Jones, E., Runkle, P., Dasgupta, N., Couchman, L., & Carin, L. (2001). Genetic algorithm wavelet design for signal classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(8), 890–895. https://doi.org/10.1109/34.946991
Jones, E., P. Runkle, N. Dasgupta, L. Couchman, and L. Carin. “Genetic algorithm wavelet design for signal classification.” IEEE Transactions on Pattern Analysis and Machine Intelligence 23, no. 8 (August 1, 2001): 890–95. https://doi.org/10.1109/34.946991.
Jones E, Runkle P, Dasgupta N, Couchman L, Carin L. Genetic algorithm wavelet design for signal classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2001 Aug 1;23(8):890–5.
Jones, E., et al. “Genetic algorithm wavelet design for signal classification.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 8, Aug. 2001, pp. 890–95. Scopus, doi:10.1109/34.946991.
Jones E, Runkle P, Dasgupta N, Couchman L, Carin L. Genetic algorithm wavelet design for signal classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2001 Aug 1;23(8):890–895.

Published In

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

ISSN

0162-8828

Publication Date

August 1, 2001

Volume

23

Issue

8

Start / End Page

890 / 895

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4611 Machine learning
  • 4603 Computer vision and multimedia computation
  • 0906 Electrical and Electronic Engineering
  • 0806 Information Systems
  • 0801 Artificial Intelligence and Image Processing