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Delay Coefficients Based Variable Regularization Subband Affine Projection Algorithms in Acoustic Echo Cancellation Applications

机译:回声抵消应用中基于时延系数的可变正则化子带仿射投影算法

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摘要

To attain good performance in an acoustic echo cancellation system, it is important to have a variable step size (VSS) algorithm as part of an adaptive filter. In this paper, we are concerned with the development of a VSS algorithm for a recently proposed subband affine projection (SAP) adaptive filter. Two popular VSS algorithms in the literature are the methods of delayed coefficients (DC) and variable regularization (VR). However, the merits and demerits of them are mutually exclusive. We propose a VSS algorithm~* that is a hybrid of both methods and combines their advantages. An extensive study of the new algorithm in different scenarios like the presence double-talk (DT) during the transient phase of the adaptive filter, DT during steady state, and varying DT power is conducted and reasoning is given to support the observed behavior. The importance of the method of VR as part of a VSS algorithm is emphasized.
机译:为了在回声消除系统中获得良好的性能,将可变步长(VSS)算法作为自适应滤波器的一部分非常重要。在本文中,我们关注用于最近提出的子带仿射投影(SAP)自适应滤波器的VSS算法的开发。文献中两种流行的VSS算法是延迟系数(DC)和变量正则化(VR)方法。但是,它们的优缺点是相互排斥的。我们提出了一种VSS算法,它是两种方法的结合,并结合了它们的优点。对新算法在不同场景下进行了广泛的研究,例如自适应滤波器瞬态阶段的存在通话(DT),稳态下的DT和变化的DT功率,并给出了推理来支持观察到的行为。强调了VR方法作为VSS算法一部分的重要性。

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