Causal and stable FIR-IIR Wiener filters

Date

2003-10-01

Author

Tuncer, Temel Engin

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

17
views

0
downloads

Cite This

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.

Subject Keywords

Wiener filter, Finite impulse response filter, IIR filters, Delay, Computational complexity, Convolution, Equations, Inverse problems, Signal processing, Degradation

URI

https://hdl.handle.net/11511/42142

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar