• DocumentCode
    3541548
  • Title

    Non-iterative WLS design of allpass variable fractional-delay digital filters

  • Author

    Deng, Tian-Bo

  • Author_Institution
    Dept. of Inf. Sci. Fac. of Sci., Toho Univ., Chiba, Japan
  • fYear
    2005
  • fDate
    23-26 May 2005
  • Firstpage
    504
  • Abstract
    The paper presents a non-iterative method for the weighted-least-squares (WLS) design of allpass variable fractional-delay (VFD) digital filters. After expressing the coefficients of an allpass VFD filter as the polynomials of the variable fractional-delay parameter, p, we develop an analytical WLS method for finding the optimal polynomial coefficients, and show that the allpass VFD filter design problem can be efficiently solved without resort to any iterative procedure or using any nonlinear optimization technique, while a closed-form solution can be obtained analytically through solving a matrix equation. Compared with the existing allpass WLS method, that iteratively solves a series of linearized WLS minimization problems, the proposed non-iterative WLS approach can yield much better design results with significantly reduced computational complexity and without any convergence issue.
  • Keywords
    all-pass filters; computational complexity; delays; digital filters; frequency response; logic design; matrix algebra; polynomials; allpass filters; allpass variable fractional-delay digital filters; closed-form solution; computational complexity; matrix equation solution; minimization problems; noniterative design; nonlinear optimization; polynomials; weighted-least-squares design; Computational complexity; Convergence; Design optimization; Digital filters; Electronic mail; Finite impulse response filter; Frequency; Information science; Iterative methods; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
  • Print_ISBN
    0-7803-8834-8
  • Type

    conf

  • DOI
    10.1109/ISCAS.2005.1464635
  • Filename
    1464635