• DocumentCode
    1749590
  • Title

    A new unbiased equation error algorithm for IIR ADF and its application to ALE

  • Author

    Okello, J. ; Kinugasa, Y. ; Itoh, Y. ; Fukui, Y. ; Kobayashi, M.

  • Author_Institution
    Fac. of Eng., Tottori Univ., Japan
  • Volume
    6
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    3737
  • Abstract
    A new online algorithm for updating equation error IIR ADF is proposed. The proposed algorithm, which involves maintaining a constant power of the desired signal, is independent of the white disturbance signal, and hence there is no bias in the coefficient´s estimate of the ADF. We also provide the analysis and simulation results which verify this kind of performance. Application of the proposed algorithm to an adaptive line enhancer (ALE) is also provided. When compared with the method which uses a cascaded notch filter, we observe a considerable improvement in performance due to the complete elimination of the effect of white noise under mean sense condition
  • Keywords
    IIR filters; adaptive filters; identification; interference suppression; ALE; IIR ADF; adaptive filter; adaptive line enhancer; online algorithm; performance; unbiased equation error algorithm; Convergence; Educational institutions; Equations; Field-flow fractionation; Finite impulse response filter; Maintenance engineering; Performance analysis; Power engineering and energy; Signal processing algorithms; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.940655
  • Filename
    940655