• DocumentCode
    2852633
  • Title

    Causal and stable FIR-IIR Wiener filters

  • Author

    Tuncer, T. Engin

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Middle East Tech. Univ., Ankara, Turkey
  • fYear
    2003
  • fDate
    28 Sept.-1 Oct. 2003
  • Firstpage
    118
  • Lastpage
    121
  • Abstract
    IIR Wiener filters are the optimum filters with minimum MSE. In general, these filters are noncausal and their causal counterparts have larger MSE. In this paper, we propose causal and stable FIR-IIR Wiener filters which have the same MSE performance when the FIR part is sufficiently long. FIR-IIR Wiener filter employs the best delay LS inverse filter to model the noncausal part of the IIR Wiener filter. We have compared the MSE performances of IIR causal and noncausal, FIR best delay and FIR-IIR Wiener filters by using AR(1) and AR(2) processes.
  • Keywords
    FIR filters; IIR filters; Wiener filters; delay filters; mean square error methods; statistics; MSE performance; causal filter; delay least square inverse filter; mean square error method; stable FIR-IIR Wiener filters; statistical signal processing; Computational complexity; Convolution; Degradation; Delay; Equations; Finite impulse response filter; IIR filters; Inverse problems; Signal processing; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2003 IEEE Workshop on
  • Print_ISBN
    0-7803-7997-7
  • Type

    conf

  • DOI
    10.1109/SSP.2003.1289354
  • Filename
    1289354