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
fDate :
28 Sept.-1 Oct. 2003
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;
Conference_Titel :
Statistical Signal Processing, 2003 IEEE Workshop on
Print_ISBN :
0-7803-7997-7
DOI :
10.1109/SSP.2003.1289354