• DocumentCode
    2756826
  • Title

    Unbiased equation error adaptive IIR notch filter

  • Author

    Punchalard, R. ; Lorsawatsiri, A. ; Loetwassana, W. ; Koseeyaporn, J. ; Wardkein, P. ; Roeksabutr, A.

  • Author_Institution
    Mahanakorn Univ. of Technol., Bangkok
  • fYear
    2007
  • fDate
    Oct. 30 2007-Nov. 2 2007
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    This paper presents the unbiased gradient algorithm for the equation error adaptive IIR notch filter (UEANF). The proposed algorithm employs the bias removal technique to remove the bias existing in the estimated parameter, resulting in obtaining good estimate of the parameter. Moreover, the convergence property is improved as compared with the conventional adaptive IIR notch filter (ANF). The computer simulations are provided to confirm the performances of the proposed technique.
  • Keywords
    IIR filters; adaptive filters; convergence; gradient methods; notch filters; parameter estimation; bias removal; convergence property; parameter estimation; unbiased equation error adaptive IIR notch filter; unbiased gradient algorithm; Adaptive algorithm; Adaptive filters; Convergence; Electronic mail; Equations; Finite impulse response filter; History; IIR filters; Parameter estimation; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2007 - 2007 IEEE Region 10 Conference
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-1272-3
  • Electronic_ISBN
    978-1-4244-1272-3
  • Type

    conf

  • DOI
    10.1109/TENCON.2007.4429155
  • Filename
    4429155
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2756826