DocumentCode :
1049844
Title :
An algorithm for efficient, unbiased, equation-error infinite impulse response adaptive filtering
Author :
Davila, Carlos E.
Author_Institution :
Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
Volume :
42
Issue :
2
fYear :
1994
fDate :
2/1/1994 12:00:00 AM
Firstpage :
415
Lastpage :
419
Abstract :
An algorithm for efficiently adjusting the coefficients of equation-error infinite impulse response (IIR) adaptive filters is described. Unlike the recursive least squares (RLS) algorithm, the proposed algorithm yields unbiased filter coefficients. Simulations involving the identification of unknown pole-zero systems demonstrate the algorithm´s improved performance over the equation-error RLS algorithm
Keywords :
adaptive filters; digital filters; filtering and prediction theory; least squares approximations; parameter estimation; poles and zeros; algorithm; coefficients adjustment; efficient unbiased equation-error infinite impulse response adaptive filtering; performance; unbiased filter coefficients; unknown pole-zero systems identification; Adaptive filters; Bandwidth; Decorrelation; Equations; Filtering algorithms; Finite impulse response filter; IIR filters; Sensor arrays; Signal processing algorithms; Smoothing methods;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.275616
Filename :
275616
Link To Document :
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