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GAUSS-SEIDEL BASED VARIABLE STEP-SIZE AFFINE PROJECTION ALGORITHMS FOR ACOUSTIC ECHO CANCELLATION

机译:基于Gauss-Seidel基于梯级仿真投影算法,用于隔音回声消除

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Fast affine projection (FAP) algorithms have proved to be very attractive choice for acoustic echo cancellation (AEC). These algorithms offer a good trade-off between convergence rate and computational complexity. Most of the existing FAP algorithms use a constant step-size and need to compromise between several performance criteria (e.g., fast convergence and low misalignment). In this paper, two FAP algorithms based on the Gauss-Seidel method and using a variable step-size (VSS) are proposed for AEC. It is shown that the proposed algorithms are more robust against near-end signal variations (including double-talk) than their counterparts that use a fixed step-size.
机译:快速仿射投影(FAP)算法已被证明是声学回声消除(AEC)的非常有吸引力的选择。这些算法在收敛速率和计算复杂性之间提供了良好的权衡。大多数现有FAP算法使用恒定的步长,并且需要在几个性能标准(例如,快速收敛和低错位)之间妥协。在本文中,为AEC提出了一种基于高斯-Seidel方法和使用可变步长(VSS)的FAP算法。结果表明,所提出的算法对近端信号变化(包括双通话)比使用固定阶跃大小的对应物更加稳健。

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