• DocumentCode
    2252153
  • Title

    Low-order fixed denominator IIR VFD filter design

  • Author

    Kwan, Hon Keung ; Jiang, Aimin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON, Canada
  • fYear
    2009
  • fDate
    24-27 May 2009
  • Firstpage
    481
  • Lastpage
    484
  • Abstract
    A two-stage design method of low-order fixed denominator IIR variable fractional delay (VFD) digital filters is presented in this paper. In the first stage, a set of FIR fractional delay (FD) filters are designed first. Each FIR FD filter design problem is formulated in the peak-constrained weighted least-squares (PCWLS) sense and solved by the projected least-squares (PLS) algorithm. Then, model reduction technique is applied on a time-domain average FIR filter to obtain the fixed denominator. The remaining numerators of the IIR FD filters can be obtained by solving linear equations derived from the orthogonality principle. In the second stage of the design, these FD filter coefficients are to be approximated by polynomial functions of FD. Three sets of filter-examples are given to illustrate the effectiveness of the proposed design method.
  • Keywords
    FIR filters; IIR filters; least squares approximations; linear phase filters; polynomial approximation; FIR filter; IIR VFD filter design; low-order fixed denominator; peak-constrained weighted least-square sense; polynomial function; projected least-square algorithm; signal processing; variable fractional delay filter; Algorithm design and analysis; Delay; Design methodology; Digital filters; Equations; Finite impulse response filter; IIR filters; Nonlinear filters; Reduced order systems; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-3827-3
  • Electronic_ISBN
    978-1-4244-3828-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.2009.5117790
  • Filename
    5117790