DocumentCode :
1239161
Title :
Mean-square performance of data-reusing adaptive algorithms
Author :
Shin, Hyun-Chool ; Song, Woo-Jin ; Sayed, Ali H.
Author_Institution :
Dept. of Biomed. Eng., Johns Hopkins Sch. of Med., Baltimore, MD, USA
Volume :
12
Issue :
12
fYear :
2005
Firstpage :
851
Lastpage :
854
Abstract :
This letter provides a unified mean-square performance analysis of the class of data reusing adaptive algorithms. The derivation relies on energy conservation arguments, and it does not restrict the regression data to being Gaussian. Simulation results show that there is a relatively good match between theory and practice.
Keywords :
Gaussian channels; adaptive filters; adaptive signal processing; affine transforms; filtering theory; mean square error methods; regression analysis; APA; Gaussian channel; adaptive filter; affine projection algorithm; data-reusing adaptive algorithm; energy conservation relation; mean-square performance; regression data; Adaptive algorithm; Biomedical engineering; Computational modeling; Convergence; Cost function; Covariance matrix; Energy conservation; Performance analysis; Signal processing algorithms; Vectors; Affine projection algorithm (APA); data-reusing adaptive filters; energy conservation relation;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2005.859500
Filename :
1542116
Link To Document :
بازگشت