• DocumentCode
    783244
  • Title

    Low complexity dynamically regularised RLS algorithm

  • Author

    Liu, J. ; Zakharov, Y.

  • Volume
    44
  • Issue
    14
  • fYear
    2008
  • Firstpage
    886
  • Lastpage
    885
  • Abstract
    Proposed is a low complexity dynamically regularised recursive least squares (RLS) adaptive filtering algorithm based on dichotomous co-ordinate descent iterations. The complexity of the proposed algorithm is reduced to 𝒪(N 2), N being the filter length, compared to 𝒪(N 3) for a directly regularised RLS algorithm. Field programmable gate array implementation shows that the proposed algorithm is hardware efficient.
  • Keywords
    adaptive filters; field programmable gate arrays; filtering theory; iterative methods; least mean squares methods; adaptive filter; dichotomous co-ordinate descent iterations; field programmable gate array implementation; filter length; recursive least squares algorithm;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20081096
  • Filename
    4558468
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=783244