Sciweavers

Share
JCM
2006

Computationally-Efficient DNLMS-Based Adaptive Algorithms for Echo Cancellation Application

8 years 8 months ago
Computationally-Efficient DNLMS-Based Adaptive Algorithms for Echo Cancellation Application
This paper investigates the application of the delayed normalized least mean square (DNLMS) algorithm to echo cancellation. In order to reduce the amount of computations, DNLMS is modified by using computationallyefficient techniques including the M-Max algorithm, a Stopand-go (SAG) algorithm, and Power-of-two (POT) quantization. For the SAG algorithm, a new stopping criterion related to the regressor energy is presented. Cumulatively, these modifications lead to reductions in power and/or area. Simulation results and comparisons with the normalized least mean square (NLMS) algorithm are included to show the advantages of the computationally-efficient algorithms.
Raymond Lee, Esam Abdel-Raheem, Mohammed A. S. Kha
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2006
Where JCM
Authors Raymond Lee, Esam Abdel-Raheem, Mohammed A. S. Khalid
Comments (0)
books