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Y. Cui, J. Wang, C. Zheng, and X. Li, "Acoustic Echo Cancellation for Asynchronous Systems Based on Resampling Adaptive Filter Coefficients," Paper 9643, (2016 September.). doi: Y. Cui, J. Wang, C. Zheng, and X. Li, "Acoustic Echo Cancellation for Asynchronous Systems Based on Resampling Adaptive Filter Coefficients," Paper 9643, (2016 September.). doi:
Abstract: 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.

@article{cui2016acoustic,
author={cui, yang and wang, jie and zheng, chengshi and li, xiaodong},
journal={journal of the audio engineering society},
title={acoustic echo cancellation for asynchronous systems based on resampling adaptive filter coefficients},
year={2016},
volume={},
number={},
pages={},
doi={},
month={september},} @article{cui2016acoustic,
author={cui, yang and wang, jie and zheng, chengshi and li, xiaodong},
journal={journal of the audio engineering society},
title={acoustic echo cancellation for asynchronous systems based on resampling adaptive filter coefficients},
year={2016},
volume={},
number={},
pages={},
doi={},
month={september},
abstract={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.},}

TY - paper
TI - Acoustic Echo Cancellation for Asynchronous Systems Based on Resampling Adaptive Filter Coefficients
SP - EP -
AU - Cui, Yang
AU - Wang, Jie
AU - Zheng, Chengshi
AU - Li, Xiaodong
PY - 2016
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - September 2016 TY - paper
TI - Acoustic Echo Cancellation for Asynchronous Systems Based on Resampling Adaptive Filter Coefficients
SP - EP -
AU - Cui, Yang
AU - Wang, Jie
AU - Zheng, Chengshi
AU - Li, Xiaodong
PY - 2016
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - September 2016
AB - 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.