• DocumentCode
    1124264
  • Title

    Adaptive combination of normalised filters for robust system identification

  • Author

    Arenas-García, J. ; Figueiras-Vidal, Anibal R.

  • Author_Institution
    Dept. of Signal Theor. & Commun., Univ. Carlos de Madrid, Leganes, Spain
  • Volume
    41
  • Issue
    15
  • fYear
    2005
  • fDate
    7/21/2005 12:00:00 AM
  • Firstpage
    874
  • Lastpage
    875
  • Abstract
    The performance of square norm adaptive filters degrades in the presence of impulsive noise. The sign algorithm overcomes this problem, at the cost of a slower convergence. Presented is an adaptive combination of two independent filters, using the absolute and quadratic error criteria, respectively, so that the resulting scheme achieves a fast convergence and remains robust to impulsive noise.
  • Keywords
    adaptive filters; adaptive signal processing; convergence; identification; impulse noise; absolute error criteria; convergence; impulsive noise; independent filters; normalised filters; quadratic error criteria; robust system identification; sign algorithm; square norm adaptive filters;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20051936
  • Filename
    1487760
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1124264