| Paper: | SPTM-L5.6 | ||
| Session: | LMS-type Adaptive Filters | ||
| Time: | Wednesday, May 17, 15:40 - 16:00 | ||
| Presentation: | Lecture | ||
| Topic: | Signal Processing Theory and Methods: Adaptive Systems and Filtering | ||
| Title: | Double Direction Adaptation for Noise reduction in Pre-whitened LMS-type algorithms | ||
| Authors: | Hichem Besbes, Sofia Ben Jebara, Ecole Supérieure des Communications de Tunis, Tunisia | ||
| Abstract: | The LMS algorithm suffers from its slow rate of convergence, especially for high correlated input signal. The input pre-whitening based algorithms provide better convergence rate with the price of noise enhancement. To mitigate this drawback, we present in this paper a technique, which consists on exciting the adaptive filter at both the input signal direction and the pre-whitened input direction. Hence, two different step sizes are used, they permit to improve convergence rate without enhancing the noise during steady state. A theoretical analysis of the steady state performance is presented. Simulation results are also presented to support the analysis and to compare the proposed algorithm with classical ones. | ||
©2018 Conference Management Services, Inc. -||- email: webmaster@icassp2006.org -||- Last updated Friday, August 17, 2012