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Acoustic Echo Cancellation for Asynchronous Systems Based on Resampling Adaptive Filter Coefficients

In asynchronous systems, most of traditional acoustic echo cancellation (AEC) algorithms couldn’t track echo path correctly because of the asynchronization of D/A and A/D converters, which can reduce the performance dramatically. Based on multirate digital signal processing theory, this paper proposes to solve this problem by resampling adaptive filter coefficients (RAFC), where the adaptive filter coefficients are updated by normalized least mean square (NLMS) algorithm with a variable step control method. The simulation results indicate that the proposed can estimate the clock offset quite accurately. Objective test results also show that the proposed RAFCNLMS is much better than the previous adaptive sampling rate correction algorithm in terms of the convergence rate and clock offset tracking performance.

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