• DocumentCode
    1640649
  • Title

    The design of compactly supported orthonormal wavelets with integer scaling factors

  • Author

    Lazar, Michael S. ; Bruton, Leonard T.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
  • fYear
    1992
  • Firstpage
    323
  • Lastpage
    326
  • Abstract
    It has been shown that discrete-time orthonormal wavelet decompositions are related to lossless perfect reconstruction (PR) multirate filter banks except that such filters are not generally designed with wavelet regularity considerations in mind. The authors present a method, based on the design of M-band PR filters, to generate orthonormal wavelets with arbitrary integer scaling factor M, such that the wavelets are regular and the corresponding PR filters have good stop- and pass-band responses. Applications for such filters include the analysis of signals with arbitrary scaling, such as fractals
  • Keywords
    band-pass filters; band-stop filters; filtering and prediction theory; wavelet transforms; M-band PR filters; compactly supported orthonormal wavelets; discrete-time orthonormal wavelet decompositions; integer scaling factors; lossless perfect reconstruction; multirate filter banks; pass-band responses; stop-band responses; Band pass filters; Channel bank filters; Continuous wavelet transforms; Discrete wavelet transforms; Filter bank; Finite impulse response filter; Signal analysis; Signal resolution; Virtual manufacturing; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-0805-0
  • Type

    conf

  • DOI
    10.1109/TFTSA.1992.274173
  • Filename
    274173