• DocumentCode
    2216395
  • Title

    A simplified FTF-Type algorithm for adaptive filtering

  • Author

    Benallal, Ahmed ; Benkrid, Abdelhak

  • Author_Institution
    Coll. of Technol., Dammam, Saudi Arabia
  • fYear
    2006
  • fDate
    4-8 Sept. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Fast RLS algorithms are known to present numerical instability and this instability is originated in the forward prediction parameters. In this paper, A simplified FTF-Type algorithm for adaptive filtering is presented. The basic idea behind the proposed algorithm is to avoid using the backward variables. The algorithm obtained is less complex than the existing numerically stable fast FTF and shows the same performances.
  • Keywords
    adaptive filters; least squares approximations; numerical stability; FTF-type algorithm; adaptive filtering; backward variables; fast RLS algorithms; fast recursive least squares; numerical instability; Abstracts; Filtering algorithms; Numerical stability; Prediction algorithms; Transversal filters; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2006 14th European
  • Conference_Location
    Florence
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7071249
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2216395