• DocumentCode
    2899288
  • Title

    The fast affine projection algorithm

  • Author

    Gay, Steven L. ; Tavathia, Sanjeev

  • Author_Institution
    Dept. of Acoust. Res., AT&T Bell Labs., Murray Hill, NJ, USA
  • Volume
    5
  • fYear
    1995
  • fDate
    9-12 May 1995
  • Firstpage
    3023
  • Abstract
    This paper discusses a new adaptive filtering algorithm called fast affine projections (FAP). FAP´s key features include LMS like complexity and memory requirements (low), and RLS like convergence (fast) for the important case where the excitation signal is speech. Another of FAP´s important features is that it causes no delay in the input or output signals. In addition, the algorithm is easily regularized resulting in robust performance even for highly colored excitation signals. The combination of these features make FAP an excellent candidate for the adaptive filter in the acoustic echo cancellation problem. A simple, low complexity numerical stabilization method for the algorithm is also introduced
  • Keywords
    adaptive filters; adaptive signal processing; computational complexity; echo; least mean squares methods; speech processing; LMS like complexity; RLS like convergence; acoustic echo cancellation problem; adaptive filtering algorithm; excitation signal; fast affine projection algorithm; highly colored excitation signals; low complexity numerical stabilization method; memory requirements; performance; Adaptive filters; Convergence; Delay; Filtering algorithms; Financial advantage program; Least squares approximation; Projection algorithms; Resonance light scattering; Robustness; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-2431-5
  • Type

    conf

  • DOI
    10.1109/ICASSP.1995.479482
  • Filename
    479482