• DocumentCode
    3239547
  • Title

    Low-delay frequency domain LMS algorithm

  • Author

    Amrane, O. Ait ; Moulines, E. ; Charbit, M. ; Grenier, Y.

  • Author_Institution
    CNRS URA, Telecom Paris, France
  • Volume
    4
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    9
  • Abstract
    The authors deal with frequency-domain (FD) adaptive identification with application to acoustic echo cancellation. Several proposed frequency-domain LMS algorithms are reviewed and unified in the common framework of fast convolution using the short-term Fourier transform. A more flexible identification scheme is then proposed, making it possible to independently control the delay and the adaptation rate. The theoretical proof of convergence of this new scheme is provided together with simulations demonstrating the efficiency of this method in both stationary and nonstationary environments
  • Keywords
    Fourier transforms; acoustic signal processing; adaptive filters; convergence; digital filters; echo suppression; frequency-domain analysis; least squares approximations; acoustic echo cancellation; adaptive identification; convergence; frequency domain LMS algorithm; low delay; short-term Fourier transform; Acoustic applications; Convergence; Convolution; Delay; Discrete Fourier transforms; Echo cancellers; Finite impulse response filter; Fourier transforms; Frequency domain analysis; Least squares approximation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0532-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1992.226424
  • Filename
    226424