Low complexity LMS-type adaptive algorithm with selective coefficient update for stereophonic acoustic echo cancellation

Authors:
Khaled Mayyas
Affiliations:
Department of Electrical Engineering, Jordan University of Science and Technology, P.O. Box 3030, Irbid 221 10, Jordan
Venue:
Computers and Electrical Engineering
Year:
2009

Citing 6
Cited 1

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An efficient stabilized fast Newton adaptive filtering algorithm for stereophonic acoustic echo cancellation SAEC

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Abstract

Stereophonic acoustic echo cancellation (SAEC) has brought up recently much attention and found a viable place in a number of hands-free applications. In this paper, we propose an LMS-type algorithm for SAEC based on decomposing the long adaptive filter of each channel of the SAEC system into smaller subfilters. We further reduce the complexity of the algorithm by employing the selective coefficient update (SCU) method in each subfilter. This leads to a significant improvement in the convergence rate of the algorithm with low computational overhead. However, the algorithm has a high final mean-square error (MSE) at steady-state that increases as number of subfilters increases. A combined-error algorithm is presented that achieves fast convergence without compromising the steady state error level. Simulations demonstrate the convergence speed advantages of the combined-error algorithm.