DocumentCode :
962452
Title :
On the real and complex least mean square adaptive filter algorithms
Author :
Bershad, N.J.
Author_Institution :
University of California, Irvine, CA
Volume :
69
Issue :
4
fYear :
1981
fDate :
4/1/1981 12:00:00 AM
Firstpage :
469
Lastpage :
470
Abstract :
The real and complex LMS adaptive algorithms are compared. In general, it is shown that, with respect to the weights, the real algorithm is not equivalent to the real part of the complex algorithm. However, when the algorithm is configured as an ALE with sinusoidal inputs, the mean weight behavior of the real algorithm is identical to the real part of the mean weight of the complex algorithm. This result is useful because there are simplicities in the analysis of the complex model that do not exist in the analysis of the real model Some of these simplicities are discussed.
Keywords :
Adaptive algorithm; Adaptive filters; Difference equations; Least squares approximation; Line enhancers; Linear systems; Probability; Signal analysis; Statistical analysis; Statistics;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/PROC.1981.11993
Filename :
1456261
Link To Document :
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