DocumentCode :
3063490
Title :
Convergence analysis of LMS and NLMS adaptive algorithms
Author :
Hsia, T.C.
Author_Institution :
University of California, Davis, California
Volume :
8
fYear :
1983
fDate :
30407
Firstpage :
667
Lastpage :
670
Abstract :
The main contribution of this paper is the unified treatment of convergence analysis for both LMS and NLMS adaptive algorithms. The following new results are obtained: (i) necessary and sufficient conditions of convergence, (ii) optimal adjustment gains and optimal convergence rates, (iii) interrelationship between LMS and NLMS gains, and (iv) non-stationary algorithm design.
Keywords :
Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Convergence; Covariance matrix; Equations; Least squares approximation; Random processes; Recursive estimation; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.
Type :
conf
DOI :
10.1109/ICASSP.1983.1172047
Filename :
1172047
Link To Document :
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