Title :
Convergence and steady-state analysis of a variable step-size normalized LMS algorithm
Author :
Sulyman, Ahmed I. ; Zerguine, Azzedine
Author_Institution :
Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, Ont., Canada
Abstract :
This paper presents a simple and robust variable step-size normalized LMS (VSS-NLAIS) adaptive algorithm. The fixed step-size NLMS algorithm (FSS- NLMS) usually results in a trade-off between the residual error and the convergence speed of the algorithm. The variable step-size NLMS algorithm presented here relaxes such trade-off. Both analysis and simulation results show that the proposed VSS-NLMS algorithm outperforms the FSS-NLMS algorithm.
Keywords :
convergence of numerical methods; least mean squares methods; convergence; fixed step-size NLMS algorithm; least mean square methods; steady-state analysis; variable step-size normalized LMS algorithm; Algorithm design and analysis; Analytical models; Convergence; Estimation error; Least squares approximation; Minerals; Petroleum; Robustness; Signal processing; Steady-state;
Conference_Titel :
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN :
0-7803-7946-2
DOI :
10.1109/ISSPA.2003.1224946
