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A Robust Step-Size Control Technique Based on Proportionate Constraints on Filter Update for Acoustic Echo Cancellation

机译:基于比例约束的滤波器更新的鲁棒步长控制技术,用于回声消除

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摘要

One of the main difficulties in Acoustic echo cancellation (AEC) is that the filter adaptation needs to vary according to different situations such as near-end interferences and echo path changes. In this paper, we propose a robust step-size control algorithm in frequency domain. The proposed method is based on the optimization of the square of the bin-wise a posteriori error. Constraint on the filter update is applied, which contributes to robustness to near-end interferences of the algorithm. The learning rate formula is derived first and then the relationship between the proposed algorithm and a robust statistics based approach is revealed. The method is extended to the Multidelay block frequency domain adaptive filter (MDF) so as to meet the demand of low delay in practical application. Moreover, the values of the constraints are designed to be updated proportionately to improve the convergence property. Simulation results demonstrate the superiority of the proposed algorithm.
机译:声学回声消除(AEC)的主要困难之一是滤波器的适应性需要根据不同情况(例如近端干扰和回声路径变化)而变化。本文提出了一种鲁棒的频域步长控制算法。所提出的方法是基于对二进制后验误差平方的优化。应用了对滤波器更新的约束,这有助于提高算法的近端干扰的鲁棒性。首先导出学习率公式,然后揭示所提出的算法与基于鲁棒统计的方法之间的关系。该方法扩展到多延迟块频域自适应滤波器(MDF),以满足实际应用中对低延迟的需求。此外,约束的值设计为按比例更新,以提高收敛性。仿真结果证明了该算法的优越性。

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