• DocumentCode
    701131
  • Title

    Analysis of an LMS adaptive feedforward controller for periodic disturbance rejection: Non-wiener solutions for the LMS algorithm with a noisy reference-revisited

  • Author

    Bershad, Neil J. ; Bermudez, Jose Carlos M.

  • Author_Institution
    Department of Electrical and Computer Engineering, University of California, Irvine, CA, 92717, U.S.A.
  • fYear
    1996
  • fDate
    10-13 Sept. 1996
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    LMS adaptive cancellation has been found to be effective in various applications of active noise control of periodic disturbances. A deterministic periodic waveform can be used for the reference when the period of the disturbance is known a priori. However, the algorithm behavior is determined by so-called Non-Wiener solutions. This paper presents a new vector subspace model for simplifying the analysis of the Non-Wiener behavior. The LMS weights are modelled as a deterministic time-varying mean plus a zero-mean fluctuating part. Each weight component is analyzed separately with the subspace model.
  • Keywords
    Adaptive filters; Correlation; Feedforward neural networks; Least squares approximations; Noise measurement; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
  • Conference_Location
    Trieste, Italy
  • Print_ISBN
    978-888-6179-83-6
  • Type

    conf

  • Filename
    7082856