DocumentCode :
3862050
Title :
Robust least mean square adaptive FIR filter algorithm
Author :
Z. Banjac;B. Kovacevic;M. Veinovic;M. Milosavljevic
Author_Institution :
Inst. of Appl. Math. & Electron., Belgrade, Serbia
Volume :
148
Issue :
5
fYear :
2001
Firstpage :
332
Lastpage :
336
Abstract :
The authors propose a new robust adaptive FIR filter algorithm for system identification applications based on a statistical approach named the M estimation. The proposed robust least mean square algorithm differs from the conventional one by the insertion of a suitably chosen nonlinear transformation of the prediction residuals. The effect of nonlinearity is to assign less weight to a small portion of large residuals so that the impulsive noise in the desired filter response will not greatly influence the final parameter estimates. The convergence of the parameter estimates is established theoretically using the ordinary differential equation approach. The feasibility of the approach is demonstrated with simulations.
Journal_Title :
IEE Proceedings - Vision, Image and Signal Processing
Publisher :
iet
ISSN :
1350-245X
Type :
jour
DOI :
10.1049/ip-vis:20010594
Filename :
974393
Link To Document :
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