• DocumentCode
    2866728
  • Title

    Mean square error analysis for the fast LMS-sine algorithm

  • Author

    Khasawneh, M.A. ; Alexander, W.E.

  • Author_Institution
    Dept. of Electr. Eng., Jordan Univ. of Sci. & Technol., Irbid, Jordan
  • fYear
    1990
  • fDate
    3-6 Apr 1990
  • Firstpage
    1257
  • Abstract
    An analysis is made of the mean square error for the fast least mean square (LMS)-sine algorithm. It is shown that during the very early stages of adaptation the mean square error increases to accommodate the transients which take place in the weight updates. At steady state, the mean square error obtained is much less than that for the classical LMS algorithm due to a reduction in the misadjustment error. It is also shown through simulations that the behavior of the error is as anticipated by the analytical results
  • Keywords
    error analysis; least squares approximations; fast least mean square; mean square error; misadjustment error; simulations; sine algorithm; steady state; transients; weight updates; Adaptive algorithm; Algorithm design and analysis; Analytical models; Convergence; Error analysis; Filtering algorithms; Gravity; Least squares approximation; Mean square error methods; Resonance light scattering; Robust stability; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
  • Conference_Location
    Albuquerque, NM
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1990.115590
  • Filename
    115590