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
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