DocumentCode
1059936
Title
An Affine Projection Algorithm With Dynamic Selection of Input Vectors
Author
Kong, Se-Jin ; Hwang, Kyu-Young ; Song, Woo-Jin
Author_Institution
Pohang Univ. of Sci. & Technol., Pohang
Volume
14
Issue
8
fYear
2007
Firstpage
529
Lastpage
532
Abstract
We present a novel affine projection algorithm (APA) which dynamically selects input vectors in order to improve convergence performance. The optimum selection of the input vectors is derived by the largest decrease of the mean-square deviation. The experimental results show that the proposed algorithm has a fast convergence speed and a small steady-state error compared to the conventional APA. In addition, the proposed algorithm retains a low overall computational complexity.
Keywords
adaptive filters; convergence of numerical methods; iterative methods; vectors; affine projection algorithm; dynamic selection of input vectors; fast convergence speed; mean-square deviation; steady-state error; Adaptive filters; Computational complexity; Convergence; Equations; Helium; Least squares approximation; Projection algorithms; Signal processing algorithms; Steady-state; Vectors; Affine projection algorithm (APA); dynamic selection of input vectors;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2007.891325
Filename
4276735
Link To Document