基于频域BSS的汽车行驶过程脉冲波提取方法的研究

Kakeru Ishikawa, Minoru Komatsu, H. Matsumoto
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引用次数: 0

摘要

近年来,对驾驶员驾驶过程中健康状况的监测正在积极进行研究[1]。特别是研究了脉冲波(PW)对驾驶员驾驶过程中健康状况的监测。传统方法假定观测信号是瞬时的PW和噪声混合,分离精度较低[3]。因此,观测到的信号可能是卷积混合。为了提高卷积混合信号的分离精度,提出了基于频域盲源分离(BSS)的卷积混合信号分离方法。通过计算机仿真对该方法的优越性进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proposal of Extracting Pulse Wave During Driving a Car Based on Frequency Domain BSS
Recently, monitor for the health condition of a driver during driving a car is actively studied [1]. Especially, pulse wave (PW) is studied to monitor the health condition of a driver during driving a car. Conventionally, the observed signals are assumed instantaneous mixture of PW and noise, and the separation precision with conventional method is lower [3]. Therefore, the observed signal may be convolutive mixtures. In this paper, in order to improve separation precision, we propose the method based on frequency domain Blind Source Separation (BSS) for convolutive mixture. We evaluate the advantage of the proposed method by computer simulation.
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