• DocumentCode
    1336082
  • Title

    A block LMS algorithm for third-order frequency-domain Volterra filters

  • Author

    Im, Sungbin ; Powers, Edward J.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
  • Volume
    4
  • Issue
    3
  • fYear
    1997
  • fDate
    3/1/1997 12:00:00 AM
  • Firstpage
    75
  • Lastpage
    78
  • Abstract
    The objective of this paper is to present an adaptive algorithm to identify third-order frequency-domain Volterra filter coefficients, which correspond to the discrete Fourier transform (DFT) of the time-domain Volterra filter coefficients. The approach rests upon the block least mean square (LMS) algorithm based on the overlap-save method.
  • Keywords
    Volterra series; adaptive filters; adaptive signal processing; convolution; discrete Fourier transforms; filtering theory; frequency-domain analysis; least mean squares methods; DFT; LMS algorithm; adaptive algorithm; block least mean square algorithm; discrete Fourier transform; overlap-save method; third-order frequency-domain Volterra filters; time-domain Volterra filter coefficients; Adaptive algorithm; Adaptive filters; Convolution; Discrete Fourier transforms; Frequency estimation; Least squares approximation; Mean square error methods; Nonlinear filters; Nonlinear systems; Time domain analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.558643
  • Filename
    558643