Journal
APPLIED ACOUSTICS
Volume 146, Issue -, Pages 345-354Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.apacoust.2018.11.033
Keywords
Stereophonic acoustic echo cancellation (SAEC); Adaptive filter; SFNLMS; SNLMS; Coherence reduction; Mean square error (MSE) evaluation
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This paper addresses the stereophonic acoustic echo cancelation (SAEC) problem in teleconferencing system by adaptive filtering algorithm. We propose a new stereophonic version of the fast normalized least mean square (FNLMS) algorithm. The proposed algorithm is an extended version of the FNLMS algorithm to the stereophonic case with important improvement of the prediction part that becomes stable in the stereophonic case. The basic idea behind the proposed stereophonic fast normalized least mean square (SFNLMS) algorithm is the normalization of the predictor parameter by the inputs variance for each channel. Simulation results of a comparison between the proposed SFNLMS algorithm and the classical SNLMS version in term of convergence speed and stability are presented. (C) 2018 Elsevier Ltd. All rights reserved.
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