• DocumentCode
    2995855
  • Title

    Using a frequency weighted error function to improve performance of adaptive filters

  • Author

    Nice, Nir

  • Author_Institution
    Dialogic Corp., Parsippany, NJ, USA
  • fYear
    1993
  • fDate
    20-22 Oct 1993
  • Firstpage
    379
  • Lastpage
    387
  • Abstract
    The authors presents an enhancement to the error measurement function of an adaptive process. This enhancement enables the error to be weighted differently in different parts of the spectrum. The result is used to produce an adaptive process that adapts better to a given system, over a selective range of frequencies. The equations for an adaptive FIR system are derived. Finally some simulation results using the suggested method with an LMS process, are given
  • Keywords
    FIR filters; adaptive filters; error analysis; frequency response; least mean squares methods; LMS process; adaptive filters; error measurement function; finite impulse response filter; frequency weighted error function; simulation; Adaptive filters; Adaptive systems; Colored noise; Equations; Finite impulse response filter; Frequency; Least squares approximation; System identification; Transfer functions; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Signal Processing, VI, 1993., [Workshop on]
  • Conference_Location
    Veldhoven
  • Print_ISBN
    0-7803-0996-0
  • Type

    conf

  • DOI
    10.1109/VLSISP.1993.404468
  • Filename
    404468