DocumentCode
427680
Title
On affine projection direction vector (non)whiteness
Author
Beex, A.A. ; Sankaran, Sundar G.
Author_Institution
DSP Res. Lab., Virginia Tech., Blacksburg, VA, USA
Volume
1
fYear
2004
fDate
7-10 Nov. 2004
Firstpage
251
Abstract
Hypotheses made about the behavior of the affine projection algorithm (APA) are investigated by means of carefully designed comparative experiments. These experiments lead us to the properties of the direction vector used in APA. Experiments also show that APA converges faster than NLMS in the case of white noise input, leading us to question that whitening of the direction vector is the explaining factor for the convergence acceleration observed with APA. An alternative hypothesis is offered for why APA may yield faster convergence than NLMS.
Keywords
adaptive filters; convergence; correlation theory; least mean squares methods; APA; NLMS; affine projection algorithm; alternative hypothesis; convergence acceleration; direction vector; normalized least mean square algorithm; whitening; Adaptive filters; Convergence; Equations; Least squares approximation; Polynomials; System identification; System testing; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN
0-7803-8622-1
Type
conf
DOI
10.1109/ACSSC.2004.1399130
Filename
1399130
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