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Family of adaptive algorithms based on second order Volterra filters for nonlinear acoustic echo cancellation: A technical survey

机译:基于二阶Volterra滤波器的自适应算法族,用于非线性声回波消除:技术调查

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Acoustic echo arises when an audio signal is radiated in the real environment, resulting in the signal plus its attenuated, time delayed images. With time delay as the constraint, the prominence of the echo over communication channels is determined. Modern times have seen extensive research over the removal nonlinear echoes caused by portable communication systems and low cost audio equipment. Volterra filters employing adaptive algorithms have traditionally been a very important tool for nonlinear acoustic echo cancellation. This article presents a technical survey of the adaptive algorithms used in the design of a nonlinear equalizer modeled using a second order Volterra series expansion. In the initial sections, the problem of nonlinear echo cancellation is defined and a mathematical analysis of the Volterra series expansion is given. In further sections, a truncated version of the Volterra series which is called the second order Volterra filter is discussed. Finally, a detailed analysis has been carried out to determine the adaptive algorithm that is best in the business to solve the problem of nonlinear acoustic echo cancellation.
机译:在真实环境中辐射音频信号时会产生回声,从而导致信号及其衰减的延时图像。以时间延迟为约束,确定了通信通道上回声的突出程度。对于便携式通信系统和低成本音频设备引起的非线性回声的消除,现代已经进行了广泛的研究。传统上,采用自适应算法的Volterra滤波器是非线性声学回声消除的非常重要的工具。本文介绍了使用二阶Volterra级数展开式建模的非线性均衡器设计中使用的自适应算法的技术综述。在最初的部分中,定义了非线性回声消除的问题,并给出了Volterra级数展开的数学分析。在其他部分中,将讨论Volterra级数的截断版本,称为二阶Volterra滤波器。最后,已经进行了详细的分析,以确定最适合解决非线性声学回声消除问题的业务自适应算法。

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