Papers Published

1. 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, vol. 23 no. 8 (August, 2001), pp. 890-895, Institute of Electrical and Electronics Engineers (IEEE) [34.946991], [doi] .
   (last updated on 2024/12/31)

   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.

   Keywords:
   Wavelet transforms;Signal processing;Digital filters;Optimization;