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
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;
Conference_Titel :
Circuits and Systems, 2005. 48th Midwest Symposium on
Print_ISBN :
0-7803-9197-7
DOI :
10.1109/MWSCAS.2005.1594405
