• DocumentCode
    890225
  • Title

    LMS+F algorithm

  • Author

    Pazaitis, D.I. ; Constantinides, A.G.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
  • Volume
    31
  • Issue
    17
  • fYear
    1995
  • fDate
    8/17/1995 12:00:00 AM
  • Firstpage
    1423
  • Lastpage
    1424
  • Abstract
    A stochastic gradient adaptive filter algorithm using a time-varying mixed criterion is proposed. The algorithm optimises a cost function based on an adaptively adjusted combination of the LMF and LMS functions. Two different combination strategies are studied and sufficient convergence conditions are presented. The time-varying nature of the cost function adds flexibility and enables rapid response of the algorithm
  • Keywords
    adaptive filters; convergence of numerical methods; filtering theory; least mean squares methods; stochastic processes; time-varying filters; LMF function; LMS function; LMS+F algorithm; combination strategies; convergence conditions; cost function optimisation; least mean fourth algorithm; least mean square algorithm; rapid response; stochastic gradient adaptive filter algorithm; time-varying mixed criterion;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19951026
  • Filename
    464153
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=890225