DocumentCode :
932383
Title :
A note on the convergence analysis of LMS adaptive filters with Gaussian data
Author :
Foley, J.B. ; Boland, F.M.
Author_Institution :
Dept. of Microelectron. & Electr. Eng., Trinity Coll., Dublin, Ireland
Volume :
36
Issue :
7
fYear :
1988
fDate :
7/1/1988 12:00:00 AM
Firstpage :
1087
Lastpage :
1089
Abstract :
Necessary and sufficient conditions for the convergence of LMS (least-mean-squares) adaptive filters with Gaussian data have been established by L.L. Horowitz and K.D. Senne (1981), with the recent support of A. Feuer and E. Weinstein (1985). A feature of both of these studies is the necessity to investigate bounds on the roots of rather unwieldy characteristic equations. The authors show how such an investigation can be avoided through the use of a theorem of F. R. Gantmacher (1959). In formally applying this theorem, similar results to those of the above studies are obtained in a precise and straightforward manner
Keywords :
convergence; filtering and prediction theory; least squares approximations; Gaussian data; LMS adaptive filters; convergence analysis; Acoustic noise; Adaptive filters; Adaptive signal processing; Convergence; Covariance matrix; Equations; Gaussian noise; Least squares approximation; Noise cancellation; Signal processing algorithms; Sufficient conditions;
fLanguage :
English
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
0096-3518
Type :
jour
DOI :
10.1109/29.1632
Filename :
1632
Link To Document :
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