• DocumentCode
    1354702
  • Title

    Design of IIR filters in the complex domain

  • Author

    Chen, Xiangkun ; Parks, Thomas W.

  • Author_Institution
    Anadrill/Schlumberger, Sugar Land, TX, USA
  • Volume
    38
  • Issue
    6
  • fYear
    1990
  • fDate
    6/1/1990 12:00:00 AM
  • Firstpage
    910
  • Lastpage
    920
  • Abstract
    The problem of IIR (infinite impulse response) digital filter design in the complex domain is formulated in a way such that the existence of the best approximation is guaranteed. An efficient algorithm based on the Ellacott-Williams method is proposed to solve the problem. The algorithm separately designs the numerator and denominator, and uses a linear programming method to solve the linear complex approximation problem. For each iteration, it requires only half the computations of the Ellacott-Williams algorithm. The locally best approximation is usually found in five iterations and has an exactly equiripple error. Two ways to establish good initial points are presented. IIR filters are designed which have nearly linear phase in the passbands. Degenerate design can be detected and is shown by an example. Comparisons among several kinds of the optimal digital filters are given
  • Keywords
    digital filters; filtering and prediction theory; iterative methods; linear programming; Ellacott-Williams method; IIR filters; complex domain; denominator; digital filter design; equiripple error; infinite impulse response; linear complex approximation problem; linear programming; numerator; Algorithm design and analysis; Approximation algorithms; Chebyshev approximation; Computer errors; Digital filters; IIR filters; Linear approximation; Linear programming; Nonlinear filters; Taylor series;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.56052
  • Filename
    56052