• DocumentCode
    2583597
  • Title

    An efficient window function for design of FIR filters using IIR filters

  • Author

    Shayesteh, Mahrokh G. ; Mottaghi-Kashtiban, Mahdi

  • Author_Institution
    Dept. of Electr. Eng., Urmia Univ., Urmia, Iran
  • fYear
    2009
  • fDate
    18-23 May 2009
  • Firstpage
    1443
  • Lastpage
    1447
  • Abstract
    In this paper, we present a new window function for design of FIR filters using IIR filters which has superior performance compared to the previously presented windows. The new window has approximately the same main lobe width as that of the Blackman window, while featuring about 9-11 dB smaller side lobe peak. The idea behind the design of the proposed window is to use the extended Kalman filtering. Our results also show substantial performance improvement of the proposed window compared to the Gaussian, Kaiser, and Lanczos windows. An application example, design of FIR low pass filter by windowing method, verifies the efficiency of the new window.
  • Keywords
    FIR filters; IIR filters; Kalman filters; approximation theory; nonlinear filters; Blackman window; FIR approximation; FIR filter design; IIR filter; efficient window function; extended Kalman filtering; lobe width; side lobe peak; Convolution; Filtering; Finite impulse response filter; Fourier transforms; Frequency response; IIR filters; Kalman filters; Low pass filters; Shape; Sonar; Blackman; FIR; Gaussian; Kaiser; Parks-McClell; Window;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    EUROCON 2009, EUROCON '09. IEEE
  • Conference_Location
    St.-Petersburg
  • Print_ISBN
    978-1-4244-3860-0
  • Electronic_ISBN
    978-1-4244-3861-7
  • Type

    conf

  • DOI
    10.1109/EURCON.2009.5167830
  • Filename
    5167830