DocumentCode
3256096
Title
Variable step-size NLMS and affine projection algorithms with variable smoothing factor
Author
Dai, Tao ; Shahrrava, Behnam
Author_Institution
Dept. of Electr. & Comput. Eng., Windsor Univ., Ont., Canada
fYear
2005
fDate
7-10 Aug. 2005
Firstpage
1530
Abstract
In this paper, we propose two new variable step-size normalized least mean square (NLMS) and affine projection algorithms (APA) with variable smoothing factor. Simulation results illustrate that the proposed algorithms have faster convergence rate and lower misadjustment error than the existing algorithms with fixed smoothing factor.
Keywords
least mean squares methods; smoothing methods; affine projection algorithms; normalized least mean square; variable smoothing factor; variable step-size NLMS algorithm; Adaptive filters; Adaptive signal processing; Computational modeling; Computer errors; Convergence; Least squares approximation; Projection algorithms; Signal processing; Signal processing algorithms; Smoothing methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2005. 48th Midwest Symposium on
Print_ISBN
0-7803-9197-7
Type
conf
DOI
10.1109/MWSCAS.2005.1594405
Filename
1594405
Link To Document