• DocumentCode
    322057
  • Title

    Audio signal enhancement performance of an RLS algorithm over long time intervals

  • Author

    Scanlan, Joseph M.

  • Author_Institution
    Anal. Sci. Corp., Reston, VA, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    3-6 Aug 1997
  • Firstpage
    857
  • Abstract
    In government communities recursive least squares (RLS) algorithms are not used because of the belief that they are unstable and thus cannot be incorporated as a problem solving tool. As a result the least mean squares (LMS) algorithms, time domain being most popular because of their ease of implementation, are used to suppress audio interference. The intent of this paper is to illustrate that the RLS can be used for interference suppression over long periods of time and has superior performance over the LMS algorithms
  • Keywords
    audio signals; interference suppression; least squares approximations; RLS algorithm; audio interference; audio signal enhancement performance; interference suppression; problem solving tool; recursive least squares; Adaptive filters; Convergence; Discrete Fourier transforms; Eigenvalues and eigenfunctions; Frequency; Interference suppression; Least squares approximation; Least squares methods; Resonance light scattering; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
  • Conference_Location
    Sacramento, CA
  • Print_ISBN
    0-7803-3694-1
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1997.662209
  • Filename
    662209