• DocumentCode
    2115164
  • Title

    Optimal wavelet sub-band selection using genetic algorithm

  • Author

    Xu, Peng ; Chan, Andrew K.

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1441
  • Abstract
    In this paper, we proposed a technique to select optimal subset of features extracted from subbands generated from wavelet packets. The algorithm first selects an optimal subset of subbands, then it selects the subset of features belongs to these subbands. The genetic algorithm was used for the selection task. Our experiment shows that the algorithm effectively reduces the computation time and increases the accuracy.
  • Keywords
    feature extraction; genetic algorithms; signal processing; wavelet transforms; backpropagation algorithm; genetic algorithm; optimal wavelet sub-band selection; pattern recognition; wavelet packets; Continuous wavelet transforms; Discrete wavelet transforms; Feature extraction; Genetic algorithms; Large-scale systems; Low pass filters; Pattern recognition; Signal resolution; Wavelet packets; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7536-X
  • Type

    conf

  • DOI
    10.1109/IGARSS.2002.1026142
  • Filename
    1026142
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2115164