• DocumentCode
    446780
  • Title

    Improved MSE analysis of a gradient algorithm for an adaptive IIR notch filter

  • Author

    Mvuma, Aloys ; Hinamoto, Takao ; Nishimura, Shotaro

  • Author_Institution
    Graduate Sch. of Eng., Hiroshima Univ., Higashi-Hiroshima
  • Volume
    2
  • fYear
    2003
  • fDate
    30-30 Dec. 2003
  • Firstpage
    764
  • Abstract
    In this paper, we present an improved technique for MSE analysis of a GA for a second-order adaptive IIR notch filter. An expression for the MSE of the variable coefficient is derived by accurately approximating the power spectral density (PSD) of its steady-state fluctuation about the mean value. Accuracy of the expression is compared with expressions derived from previously proposed techniques. Simulation results are presented to substantiate the validity of the analysis
  • Keywords
    IIR filters; adaptive filters; gradient methods; mean square error methods; notch filters; adaptive IIR notch filter; gradient algorithm; improved MSE analysis; power spectral density; steady-state fluctuation; variable coefficient; Adaptive filters; Algorithm design and analysis; Analytical models; Error analysis; Finite impulse response filter; Frequency; IIR filters; Matched filters; Signal processing algorithms; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2003 IEEE 46th Midwest Symposium on
  • Conference_Location
    Cairo
  • ISSN
    1548-3746
  • Print_ISBN
    0-7803-8294-3
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2003.1562398
  • Filename
    1562398