DocumentCode :
2665081
Title :
Modification of the least-mean-square equation error algorithm for IIR system identification and adaptive filtering
Author :
Lin, Ji-Nan ; Unbehauen, Rolf
Author_Institution :
Lehrstuhl fuer Allgemeine unde Theoretische Elektrotech., Erlangen-Nurnberg Univ., West Germany
fYear :
1990
fDate :
1-3 May 1990
Firstpage :
3150
Abstract :
An algorithm is proposed for infinite impulse response (IIR) system identification and signal adaptive filtering which is derived from the least-mean-square equation error algorithm, but it manages to remedy its bias without a loss of stability. The so-called bias-remedy least-mean-square equation error algorithm has a simple form, and it shows satisfactory behavior in the series of computer simulations. The algorithm´s stability is discussed
Keywords :
adaptive filters; errors; filtering and prediction theory; least squares approximations; signal processing; IIR system identification; LMS equation error algorithm; adaptive filtering; bias-remedy; computer simulations; infinite impulse response; least-mean-square; stability; Adaptive filters; Convergence; Equations; Error correction; Filtering algorithms; IIR filters; Parameter estimation; Signal processing; Stability; System identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
Type :
conf
DOI :
10.1109/ISCAS.1990.112680
Filename :
112680
Link To Document :
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