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使用带虚拟传感的滤波-X最小均方/四次算法对主动式头枕系统进行性能评估。

Performance evaluation of an active headrest system using a filtered-x least mean square/fourth algorithm with virtual sensing.

作者信息

Karthik M L N S, Pradhan Somanath, George Nithin V

机构信息

Department of Electrical Engineering, Indian Institute of Technology Gandhinagar, Gujarat 382355, India.

Department of Electrical Engineering, Indian Institute of Technology Patna, Bihar 801106, India.

出版信息

J Acoust Soc Am. 2023 Nov 1;154(5):2878-2891. doi: 10.1121/10.0022329.

Abstract

In an active headrest system virtual sensing tends to transfer the spatial zone of quiet from the residual error microphone to the ear canal. An attempt has been made in this paper to develop an auxiliary filter based virtual sensing scheme integrated with the filtered-x least mean square/fourth algorithm for an active headrest. The performance of the proposed method has been evaluated experimentally using periodic and band limited white noise. Improved noise control performance has been observed for both periodic and broadband noise. The effect of causality constraint of the performance of the algorithm has also been tested.

摘要

在主动式头枕系统中,虚拟传感倾向于将安静的空间区域从残余误差麦克风转移到耳道。本文尝试开发一种基于辅助滤波器的虚拟传感方案,该方案与用于主动式头枕的滤波-X最小均方/四次算法相结合。已使用周期性和带限白噪声对所提方法的性能进行了实验评估。对于周期性噪声和宽带噪声,均观察到了改进的噪声控制性能。还测试了算法性能的因果性约束的影响。

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