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Non-linear acoustic echo cancellation using empirical mode decomposition

机译:使用经验模态分解的非线性回声消除

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The increasing popularity of miniature devices and loudspeakers has fuelled research in non-linear acoustic echo cancellation (NAEC). This paper reports a novel approach to NAEC based on empirical mode decomposition (EMD), a recently developed technique in non-linear and non-stationary signal analysis. EMD decomposes any signal into a finite number of time varying sub-band signals termed intrinsic mode functions (IMFs). The new approach to NAEC presented here incorporates this multi-resolution analysis with conventional power filtering to estimate non-linear echo in each IMF. Comparative experiments with a competitive baseline approach to NAEC based on pure power filtering show that the new EMD approach achieves greater non-linear echo reduction and faster convergence.
机译:微型设备和扬声器的日益普及推动了非线性声学回声消除(NAEC)的研究。本文报告了一种基于经验模态分解(EMD)的NAEC的新方法,该方法是非线性和非平稳信号分析中的最新技术。 EMD将任何信号分解为有限数量的时变子带信号,称为固有模式函数(IMF)。本文介绍的NAEC的新方法将这种多分辨率分析与常规功率滤波相结合,以估算每个IMF中的非线性回波。使用基于纯功率滤波的竞争基准NAEC基准方法进行的比较实验表明,新的EMD方法可实现更大程度的非线性回声降低和更快的收敛。

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