• DocumentCode
    901384
  • Title

    Fast converging LMS equaliser

  • Author

    Leung, S.H. ; Chan, B.L.

  • Author_Institution
    City Univ. of Hong Kong, Kowloon, Hong Kong
  • Volume
    29
  • Issue
    10
  • fYear
    1993
  • fDate
    5/13/1993 12:00:00 AM
  • Firstpage
    829
  • Lastpage
    830
  • Abstract
    A simple and efficient method is presented that makes use of a predictor to reduce the eigenvalue spread (ES) of the input signal for improving the convergence rate of the least mean square (LMS) adaptive equaliser. The performance is analysed by using a Gaussian assumption and is shown to be in good agreement with the simulations.
  • Keywords
    adaptive filters; eigenvalues and eigenfunctions; equalisers; filtering and prediction theory; least squares approximations; signal processing; signal processing equipment; Gaussian assumption; LMS equaliser; convergence rate; eigenvalue spread; input signal; least mean square adaptive equaliser; predictor; prefiltering; simulations;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19930554
  • Filename
    216254
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=901384