• DocumentCode
    1237597
  • Title

    On the Design of FIR Wavelet Filter Banks Using Factorization of a Halfband Polynomial

  • Author

    Patil, Bhushan D. ; Patwardhan, Pushkar G. ; Gadre, Vikram M.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Mumbai
  • Volume
    15
  • fYear
    2008
  • fDate
    6/30/1905 12:00:00 AM
  • Firstpage
    485
  • Lastpage
    488
  • Abstract
    A classic method of designing two-channel biorthogonal wavelet FIR filter banks is by the factorization of a halfband polynomial. Most of the popular biorthogonal filter banks are designed by the factorization of the Lagrange halfband polynomial, which has the maximum number of zeros at z = -1. However, the Lagrange halfband polynomial does not have any "free parameter," and thus, there is no direct control over the frequency response of the filters obtained by factorization. In this letter, our aim is have some control over the frequency response of the filters designed by factorization. To achieve this, we start with a general halfband filter (not the Lagrange halfband filter) whose coefficients are parameters to be designed. We then impose the regularity constraint by imposing zeros at z = -1. The number of zeros we impose is less than the maximum possible. Imposing the zeros gives a set of constraints on the coefficients of the halfband polynomial. We then factorize the halfband polynomial by expressing it in terms of the independent (free) parameters after imposing the regularity constraints. We use the free parameters to control the frequency response of the filters. We present design examples to illustrate this method.
  • Keywords
    FIR filters; channel bank filters; frequency response; matrix decomposition; polynomial approximation; wavelet transforms; FIR wavelet filter banks design; Lagrange halfband polynomial factorization; biorthogonal filter banks; frequency response; Design methodology; Digital signal processing; Filter bank; Filtering theory; Finite impulse response filter; Frequency response; Helium; Lagrangian functions; Polynomials; Spline; Filter bank; polynomial factorization; regularity;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2008.922295
  • Filename
    4533027