• DocumentCode
    2901598
  • Title

    Design of IIR Variable Fractional Delay Digital Filters

  • Author

    Kwan, Hon Keung ; Jiang, Aimin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Windsor Univ., Ont.
  • fYear
    2007
  • fDate
    27-30 May 2007
  • Firstpage
    2714
  • Lastpage
    2717
  • Abstract
    In this paper, a novel method for designing IIR variable fractional delay (VFD) digital filters with variable and fixed denominator is presented. First of all, a peak-constrained weighted least-squares (PCWLS) method is employed to design a set of FIR fixed fractional delay (FD) filters according to given specifications. The PCWLS FIR filters are implemented by the projected least-squares (PLS) algorithm. An iterative WLS model reduction technique is utilized to design denominators, which can guarantee the stability of designed IIR VFD filter if the iteration converges. The numerator of IIR fixed FD filters can be designed by two approaches: The Approach 1 solves linear equations based on the orthogonality principle; and the Approach 2 formulates the numerator design problem as a standard quadratic programming (QP) problem. The coefficients of IIR fixed FD filters are finally approximated by polynomial functions of FD. Three sets of examples are given to demonstrate the effectiveness of the proposed method.
  • Keywords
    IIR filters; least squares approximations; quadratic programming; reduced order systems; IIR filter; fixed denominator; numerator design problem; peak-constrained weighted least-squares method; projected least-squares algorithm; quadratic programming problem; variable denominator; variable fractional delay digital filters; Delay; Design methodology; Digital filters; Finite impulse response filter; IIR filters; Iterative algorithms; Nonlinear filters; Quadratic programming; Reduced order systems; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    1-4244-0920-9
  • Electronic_ISBN
    1-4244-0921-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2007.378522
  • Filename
    4253238