• DocumentCode
    966656
  • Title

    Interference-Normalized Least Mean Square Algorithm

  • Author

    Valin, Jean-Marc ; Collings, Iain B.

  • Author_Institution
    CSIRO ICT Centre, Marsfield
  • Volume
    14
  • Issue
    12
  • fYear
    2007
  • Firstpage
    988
  • Lastpage
    991
  • Abstract
    An interference-normalized least mean square (INLMS) algorithm for robust adaptive filtering is proposed. The INLMS algorithm extends the gradient-adaptive learning rate approach to the case where the signals are nonstationary. In particular, we show that the INLMS algorithm can work even for highly nonstationary interference signals, where previous gradient-adaptive learning rate algorithms fail.
  • Keywords
    adaptive filters; electromagnetic interference; least mean squares methods; gradient-adaptive learning rate; interference-normalized least mean square algorithm; nonstationary interference signals; robust adaptive filtering; Adaptive filters; Additives; Convergence; Echo cancellers; Filtering algorithms; Helium; Interference; Least mean square algorithms; Robustness; Stochastic processes; Adaptive filtering; gradient-adaptive learning rate; normalized least mean square (NLMS) algorithm;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2007.908017
  • Filename
    4378265
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=966656