• DocumentCode
    2620740
  • Title

    The leaky Least Mean Fourth adaptive algorithm

  • Author

    Khattak, Obaid-ur-Rehman ; Zerguine, Azzedine

  • Author_Institution
    Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
  • fYear
    2010
  • fDate
    10-13 May 2010
  • Firstpage
    546
  • Lastpage
    549
  • Abstract
    In this work, a leakage-based variant of the Least Mean Fourth (LMF) algorithm, the leaky Least Mean Fourth (LLMF) algorithm, has been derived which helps mitigate the weight drift problem experienced in the conventional LMF algorithm. The main aim of this work is to derive the LLMF adaptive algorithm and conduct transient analysis using the energy conservation relation framework. Finally, a number of simulation results are carried out to corroborate the theoretical findings, and show improved performance obtained through the use of LLMF over the conventional LMF algorithm in a weight drift environment.
  • Keywords
    adaptive filters; adaptive signal processing; least mean squares methods; transient analysis; LLMF adaptive algorithm; energy conservation relation framework; leaky least mean fourth adaptive algorithm; transient analysis; weight drift problem; Adaptive filters; leaky least mean fourth (LLMF); weight drift;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-7165-2
  • Type

    conf

  • DOI
    10.1109/ISSPA.2010.5605591
  • Filename
    5605591