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
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;
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
DOI :
10.1109/EURCON.2009.5167830