• DocumentCode
    3480993
  • Title

    Analysis of adaptive filter algorithms in feedback systems

  • Author

    Sakai, Hzdeaki ; Inoue, Shotaro

  • Author_Institution
    Dept. of Syst. Sci., Kyoto Univ., Japan
  • Volume
    6
  • fYear
    2003
  • fDate
    6-10 April 2003
  • Abstract
    The paper presents some convergence results of an adaptive filter algorithm for a feedback-type active noise control (ANC) system with feedback path modeling using a dither signal and for feedback path modeling of hearing aids. In these systems, there is an adaptive filter in the feedback path so that the conventional method for analysis does not work. A frequency domain method is used for the analysis. It is based on the averaging method and the frequency domain expression of the adaptive algorithm with a causality constraint. The convergence conditions are derived for both problems and a bias expression of the weights for the latter problem is presented. The positive realness of the transfer function of the optimal predictor of the incoming signal is required for stability. Finally, the convergence condition and the bias are explicitly given for simple examples and their validities are shown by some simulations.
  • Keywords
    active noise control; adaptive filters; causality; convergence of numerical methods; feedback; filtering theory; frequency-domain analysis; hearing aids; numerical stability; prediction theory; transfer functions; active noise control; adaptive filter algorithms; causality constraint; convergence condition; dither signal; feedback path modeling; feedback systems; frequency domain analysis; hearing aids; transfer function; Active noise reduction; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Control system synthesis; Convergence; Feedback; Frequency domain analysis; Hearing aids; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7663-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2003.1201688
  • Filename
    1201688