DocumentCode
967111
Title
An Affine Projection Adaptive Filtering Algorithm With Selective Regressors
Author
Hwang, Kyu-Young ; Song, Woo-Jin
Author_Institution
Dept. of Electron. & Comput. Eng., Pohang Inst. of Sci. & Technol.
Volume
54
Issue
1
fYear
2007
Firstpage
43
Lastpage
46
Abstract
We present a novel affine projection algorithm which reduces complexity by selecting a subset of input regressors at every iteration. The optimal selection of input regressors is derived by comparing the cost functions based on the principle of minimum disturbance. The proposed algorithm shows good convergence performance with various experimental results
Keywords
adaptive filters; filtering theory; iterative methods; regression analysis; affine projection adaptive filtering algorithm; input regressors; minimum disturbance cost functions; selective regressors; Acoustics; Adaptive filters; Communication system control; Computational complexity; Convergence; Cost function; Filtering algorithms; Lagrangian functions; Least squares approximation; Projection algorithms; Adaptive filtering; affine projection algorithm (APA); selective regressors (SRs);
fLanguage
English
Journal_Title
Circuits and Systems II: Express Briefs, IEEE Transactions on
Publisher
ieee
ISSN
1549-7747
Type
jour
DOI
10.1109/TCSII.2006.883215
Filename
4063469
Link To Document