DocumentCode
1149337
Title
Transient analysis of adaptive filters with error nonlinearities
Author
Al-Naffouri, Tareq Y. ; Sayed, Ali H.
Author_Institution
Dept. of Electr. Eng., Stanford Univ., CA, USA
Volume
51
Issue
3
fYear
2003
fDate
3/1/2003 12:00:00 AM
Firstpage
653
Lastpage
663
Abstract
The paper develops a unified approach to the transient analysis of adaptive filters with error nonlinearities. In addition to deriving earlier results in a unified manner, the approach also leads to new performance results without restricting the regression data to being Gaussian or white. The framework is based on energy-conservation arguments and avoids the need for explicit recursions for the covariance matrix of the weight-error vector.
Keywords
adaptive filters; covariance matrices; energy conservation; mean square error methods; recursion method; transient analysis; adaptive filters; covariance matrix; energy conservation; error nonlinearities; excess mean-square error; general recursion; regression data; transient analysis; unified approach; weight-error vector; Adaptive filters; Algorithm design and analysis; Covariance matrix; Error analysis; Error correction; Feedback; Gaussian noise; Performance analysis; Steady-state; Transient analysis;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2002.808108
Filename
1179757
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