• DocumentCode
    962452
  • Title

    On the real and complex least mean square adaptive filter algorithms

  • Author

    Bershad, N.J.

  • Author_Institution
    University of California, Irvine, CA
  • Volume
    69
  • Issue
    4
  • fYear
    1981
  • fDate
    4/1/1981 12:00:00 AM
  • Firstpage
    469
  • Lastpage
    470
  • Abstract
    The real and complex LMS adaptive algorithms are compared. In general, it is shown that, with respect to the weights, the real algorithm is not equivalent to the real part of the complex algorithm. However, when the algorithm is configured as an ALE with sinusoidal inputs, the mean weight behavior of the real algorithm is identical to the real part of the mean weight of the complex algorithm. This result is useful because there are simplicities in the analysis of the complex model that do not exist in the analysis of the real model Some of these simplicities are discussed.
  • Keywords
    Adaptive algorithm; Adaptive filters; Difference equations; Least squares approximation; Line enhancers; Linear systems; Probability; Signal analysis; Statistical analysis; Statistics;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/PROC.1981.11993
  • Filename
    1456261