ECHO CANCELLATION USING A VARIABLE STEP-SIZE NLMS ALGORITHM (TuePmOR5)
Author(s) :
Ahmed Sulyman (Queen's University, Canada)
Azzedine Zerguine (KFUPM, Saudi Arabia)
Abstract : In this work, an echo cancellation scheme using a variable step-size Normalized Least Mean-Square (VSS-NLMS) adaptive algorithm is proposed. This work shows that the use of the VSS-NLMS algorithm will eliminate much of the trade-off between residual error and speed of convergence existing with the fixed step-size NLMS algorithm and therefore resulting in an improved performance.

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