• DocumentCode
    796446
  • Title

    Robust adaptive algorithm with low computational cost

  • Author

    Soria, E. ; Martín, J.D. ; Calpe, J. ; Serrano, A.J. ; Chambers, J.

  • Volume
    42
  • Issue
    1
  • fYear
    2006
  • Abstract
    An adaptive algorithm, which is robust to impulsive noise, is proposed. The cost function underlying this algorithm contains a parameter that controls the immunity to impulsive noise and can be easily adapted. Moreover, weight updating involves a nonlinear function, which recently has been shown to have an efficient hardware implementation. The proposed adaptive algorithm has been successfully tested in terms of accuracy and convergence on a system-identification simulation
  • Keywords
    adaptive signal processing <robust adaptive algm., low comput. cost>; convergence of numerical methods <robust adaptive algm., low comput. cost>; identification <robust adaptive algm., low comput. cost>; impulse noise <robust adaptive algm., low comput. cost>; nonlinear functions <robust adaptive algm., low comput. cost>; cost function; digital signal processing; impulsive noise; low computational cost; nonlinear function; robust adaptive algorithm; system-identification simulation; weight updating;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20063967
  • Filename
    1577623