DocumentCode :
1753462
Title :
An improved model for the Normalized LMS algorithm with Gaussian inputs and large number of coefficients
Author :
Costa, Marcio H. ; Bermudez, José C M
Author_Institution :
Lab. de Eng. Biomédica, Escola de Engenharia e Arquitetura, Universidade Catölica de Pelotas, RS, Brazil
Volume :
2
fYear :
2002
fDate :
13-17 May 2002
Abstract :
This work presents a new analytical model for the Normalized Least Mean Square (NLMS) algorithm for Gaussian signals and large number of coefficients. These characteristics are of special interest in applications such as echo canceling and active noise control. The new results are compared to previous models described in the literature, showing a better agreement with Monte Carlo simulations even for unit step-size (maximum convergence speed). The new results contribute to an ongoing discussion about the relative performances of the NLMS and LMS algorithms. The new model shows that both algorithms have similar performances for a large number of coefficients and properly chosen step-sizes.
Keywords :
Lead; Least squares approximation; Steady-state;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
ISSN :
1520-6149
Print_ISBN :
0-7803-7402-9
Type :
conf
DOI :
10.1109/ICASSP.2002.5745810
Filename :
5745810
Link To Document :
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