Genetic algorithm wavelet design for signal classification
Journal articles
- 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.
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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
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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