• DocumentCode
    1302794
  • Title

    A modified algorithm for constrained least square design of multiband FIR filters without specified transition bands

  • Author

    Selesnick, I.W. ; Lang, Michael ; Burrus, C.S.

  • Author_Institution
    Polytech. Univ., Brooklyn, NY
  • Volume
    46
  • Issue
    2
  • fYear
    1998
  • fDate
    2/1/1998 12:00:00 AM
  • Firstpage
    497
  • Lastpage
    501
  • Abstract
    In a previous paper, we described a constrained least square approach to FIR filter design that does not use “don´t care” regions. In that paper, we described a simple algorithm for the design of lowpass filters according to that approach. In this paper, we describe a modification of that algorithm that makes it converge for many multiband filter designs. Although no proof of convergence is given, the modified algorithm remains simple and converges rapidly in many cases. In this approach, the user supplies a lower and upper bound constraint that is exactly satisfied by the local minima and maxima of the frequency response amplitude. Yet, the constraints can be made as tight as desired-the transition band automatically adjusts (widens) to accommodate the constraints
  • Keywords
    FIR filters; convergence of numerical methods; filtering theory; frequency response; iterative methods; least squares approximations; FIR filter design; constrained least square design; convergence; digital filters; frequency response amplitude; local maxima; local minima; lower bound constraint; lowpass filters; modified algorithm; modified exchange iterations; multiband FIR filters; transition bands; upper bound constraint; Algorithm design and analysis; Band pass filters; Chebyshev approximation; Convergence; Digital filters; Finite impulse response filter; Frequency response; Interpolation; Least squares methods; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.655433
  • Filename
    655433