• DocumentCode
    3272523
  • Title

    Least p-power error design of FIR filters

  • Author

    Burrus, C.S. ; Barreto, J.A.

  • Author_Institution
    ECE Dept., Rice Univ., Houston, TX, USA
  • Volume
    2
  • fYear
    1992
  • fDate
    10-13 May 1992
  • Firstpage
    545
  • Abstract
    The authors examine various iterative reweighted least squared error algorithms to obtain an Lp approximation for designing a linear phase FIR (finite impulse response) filter. These methods consider 1⩽p⩽∞ as being interesting themselves or as compromises between the traditional least squared error and Chebyshev designs. Convergence is the main problem in applying this approach. The authors give one new method to control convergence and a new generalization of the Rice-Lawson method. They also use these methods to give designs with different p in different frequency bands
  • Keywords
    convergence; digital filters; filtering and prediction theory; frequency response; FIR filters; Lp approximation; Rice-Lawson method; convergence; finite impulse response; iterative reweighted; least p-power error design; least squared error algorithms; linear phase; Algorithm design and analysis; Chebyshev approximation; Convergence; Design methodology; Equations; Finite impulse response filter; Frequency measurement; Frequency response; Iterative algorithms; Iterative methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7803-0593-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1992.230134
  • Filename
    230134