• DocumentCode
    1239680
  • Title

    EBFB: a new class of wavelet filters

  • Author

    Tay, David B H

  • Author_Institution
    Dept. of Electron. Eng., LaTrobe Univ., Bundoora, Vic., Australia
  • Volume
    12
  • Issue
    3
  • fYear
    2005
  • fDate
    3/1/2005 12:00:00 AM
  • Firstpage
    206
  • Lastpage
    209
  • Abstract
    A new class of biorthogonal wavelet filters and its design is presented in this work. The filters are even in length and are called Even-length Bernstein Filter Bank (EBFB). The new filter class is a modification of the Halfband Pair Filter Bank (HPFB, which only yields odd length filters) and is constructed using the Parametric Bernstein Polynomial. Perfect reconstruction is inherent in the structure of the filters, and the desired number of vanishing moments can be easily achieved by setting the appropriate parameters of the Bernstein Polynomial to zero. The design of the nonzero parameters is achieved through a least squares method that is noniterative. The design technique allows filters with different characteristics to be designed with ease.
  • Keywords
    FIR filters; channel bank filters; least squares approximations; polynomials; wavelet transforms; EBFB; FIR digital filters; HPFB; biorthogonal wavelet filters; even-length Bernstein filter bank; halfband pair filter bank; least squares method; parametric Bernstein polynomial; Digital filters; Filter bank; Finite impulse response filter; Frequency; Helium; Image reconstruction; Least squares methods; Polynomials; Process design; Wavelet transforms; FIR digital filters; Filter banks; wavelet transforms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2004.842273
  • Filename
    1395941