• DocumentCode
    3063490
  • Title

    Convergence analysis of LMS and NLMS adaptive algorithms

  • Author

    Hsia, T.C.

  • Author_Institution
    University of California, Davis, California
  • Volume
    8
  • fYear
    1983
  • fDate
    30407
  • Firstpage
    667
  • Lastpage
    670
  • Abstract
    The main contribution of this paper is the unified treatment of convergence analysis for both LMS and NLMS adaptive algorithms. The following new results are obtained: (i) necessary and sufficient conditions of convergence, (ii) optimal adjustment gains and optimal convergence rates, (iii) interrelationship between LMS and NLMS gains, and (iv) non-stationary algorithm design.
  • Keywords
    Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Convergence; Covariance matrix; Equations; Least squares approximation; Random processes; Recursive estimation; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1983.1172047
  • Filename
    1172047
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3063490