• DocumentCode
    1707316
  • Title

    Hybrid wavelet packet analysis

  • Author

    Hedges, Robert A.

  • Author_Institution
    Telecommun. Res. Center, Arizona State Univ., Tempe, AZ, USA
  • fYear
    1998
  • Firstpage
    221
  • Lastpage
    224
  • Abstract
    Performance of any transform in a particular application is highly dependent on the basis functions chosen. The choice of quadrature mirror filters (QMF) used in a wavelet packet analysis should be taken into consideration in a compression scheme. The choice of appropriate QMF is not only signal dependent, but scale dependent within a given signal. A generalization, known as hybrid wavelet packet analysis, which includes the choice of optimal QMF at each level of decomposition is explored. Computational results show that optimized hybrid wavelet packet bases provide better compression for a class of signals and indicate methods to develop search strategies to find these optimal bases
  • Keywords
    data compression; entropy; filtering theory; optimisation; quadrature mirror filters; search problems; wavelet transforms; Shannon entropy; basis functions; compression scheme; hybrid wavelet packet analysis; optimized hybrid wavelet packet bases; quadrature mirror filters; scale dependent QMF; search strategies; signal dependent QMF; Algorithm design and analysis; Discrete wavelet transforms; Educational institutions; Filters; Large-scale systems; Mirrors; Optimization methods; Pulse modulation; Wavelet analysis; Wavelet packets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on
  • Conference_Location
    Pittsburgh, PA
  • Print_ISBN
    0-7803-5073-1
  • Type

    conf

  • DOI
    10.1109/TFSA.1998.721401
  • Filename
    721401