视觉诱发脑电波的时变最优滤波估计
Time-Varying Optimum Filters for the Estimation of Visually Evoked Potential (VEP) Waveforms
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摘要: 本文提出了一个自修正的非平稳信号模型,并设计了时变最优滤波器于视觉诱发脑电波 的估计.估计出的信号与原始信号的各波峰潜伏期严格保持一致,而波峰幅值略有衰减.给 出的仿真与实体试验结果都证明了本方法的有效性.Abstract: By means of a self-adjusting nonstationary signal model for the VEP waveforms presented in this paper, we deveise a time-varying filter for the estimation of the VEP waveforms. Signals thus estimated concur with the original in latency, but have some declinations in peak amplitude. Both computer simulations and experiments have proven its effectiveness.
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