• DocumentCode
    932383
  • Title

    A note on the convergence analysis of LMS adaptive filters with Gaussian data

  • Author

    Foley, J.B. ; Boland, F.M.

  • Author_Institution
    Dept. of Microelectron. & Electr. Eng., Trinity Coll., Dublin, Ireland
  • Volume
    36
  • Issue
    7
  • fYear
    1988
  • fDate
    7/1/1988 12:00:00 AM
  • Firstpage
    1087
  • Lastpage
    1089
  • Abstract
    Necessary and sufficient conditions for the convergence of LMS (least-mean-squares) adaptive filters with Gaussian data have been established by L.L. Horowitz and K.D. Senne (1981), with the recent support of A. Feuer and E. Weinstein (1985). A feature of both of these studies is the necessity to investigate bounds on the roots of rather unwieldy characteristic equations. The authors show how such an investigation can be avoided through the use of a theorem of F. R. Gantmacher (1959). In formally applying this theorem, similar results to those of the above studies are obtained in a precise and straightforward manner
  • Keywords
    convergence; filtering and prediction theory; least squares approximations; Gaussian data; LMS adaptive filters; convergence analysis; Acoustic noise; Adaptive filters; Adaptive signal processing; Convergence; Covariance matrix; Equations; Gaussian noise; Least squares approximation; Noise cancellation; Signal processing algorithms; Sufficient conditions;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.1632
  • Filename
    1632