• DocumentCode
    976964
  • Title

    Constrained LMS adaptive algorithm

  • Author

    Segalen, A. ; Demoment, G.

  • Author_Institution
    CNRS/ESE, Laboratoire des Signaux et Systÿmes, Gif-sur-Yvette, France
  • Volume
    18
  • Issue
    5
  • fYear
    1982
  • Firstpage
    226
  • Lastpage
    227
  • Abstract
    A new least-mean-squares (LMS) adaptive algorithm is developed in the letter. This new algorithm solves a specific variance problem that occurs in LMS algorithms in the presence of high noise levels and when the input signal is bandlimited. Quantitative results in terms of an accuracy measure of a finite impulse response (FIR) system identification are presented.
  • Keywords
    filtering and prediction theory; identification; least squares approximations; FIR identification system; least-mean-square adaptive algorithm;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19820154
  • Filename
    4246332
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=976964