2025-02-06
2024-11-25
2024-10-16
Abstract—This paper investigates the application of thedelayed normalized least mean square (DNLMS) algorithmto echo cancellation. In order to reduce the amount of computations,DNLMS is modified by using computationallyefficienttechniques including the M-Max algorithm, a Stopand-go (SAG) algorithm, and Power-of-two (POT) quantization.For the SAG algorithm, a new stopping criterionrelated to the regressor energy is presented. Cumulatively,these modifications lead to reductions in power and/or area.Simulation results and comparisons with the normalizedleast mean square (NLMS) algorithm are included to showthe advantages of the computationally-efficient algorithms. Index Terms—adaptive filtering, echo cancellation, NLMS,DNLMS Cite: Raymond Lee, Esam Abdel-Raheem, and Mohammed A.S. Khalid, "Computationally-Efficient DNLMS-Based Adaptive Algorithms for Echo Cancellation Application," Journal of Communications, vol. 1, no. 7, pp. 1-8, 2006.