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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.
In this paper, a self-correcting non-stationary signal model is proposed, and the time-varying optimal filter is designed to estimate visually induced brain waves.The estimated signals are strictly consistent with the peak latency of the original signal, while the peak amplitude is slightly Attenuation. The simulation results and the experimental results show that the proposed method is effective.