• DocumentCode
    1528164
  • Title

    New filter banks and more regular wavelets

  • Author

    Drouiche, Karim ; Kateb, Djalil

  • Author_Institution
    CNRS, Univ. de Cergy Pontoise, France
  • Volume
    47
  • Issue
    8
  • fYear
    1999
  • fDate
    8/1/1999 12:00:00 AM
  • Firstpage
    2220
  • Lastpage
    2227
  • Abstract
    One of the most interesting features of a wavelet is its Sobolev regularity. In this paper, we construct new wavelets that are more regular than the Daubechies wavelets for a given support width. We tabulate the coefficients of the new filters to make them easily accessible. We show that these filters outperform the Daubechies filters in the L2 approximation of the ideal filter. An application for speech analysis, synthesis, and compression is provided
  • Keywords
    channel bank filters; data compression; low-pass filters; polynomial approximation; speech coding; speech synthesis; wavelet transforms; L2 approximation; Sobolev regularity; coefficients; compression; filter banks; ideal filter; speech analysis; synthesis; wavelet; Channel bank filters; Filter bank; Performance analysis; Polynomials; Signal analysis; Signal processing; Signal synthesis; Speech analysis; Speech synthesis; Wavelet analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.774765
  • Filename
    774765
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1528164