ISSN : 1796-2021
Volume : 1    Issue : 7    Date : November/December 2006

Computationally-Efficient DNLMS-Based Adaptive Algorithms for Echo Cancellation Application
Raymond Lee, Esam Abdel-Raheem, and Mohammed A.S. Khalid
Page(s): 1-8
Full Text:
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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.

Index Terms
adaptive filtering, echo cancellation, NLMS, DNLMS