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提取脑电信号的新方法研究─—自适应卡尔曼滤波
Stuey on a New Method of Extracting EEG Signal Using Adaptive Kalman Filter
【摘要】 本文介绍了一种提取脑电信号的自适应卡尔曼滤波算法及其微机处理软件。在实际应用中,此滤波算法实现了在最小信号和噪声模型参数的先验知识下,完全采用时域分析法,对混在噪声或无关信号中的脑电信号进行最优估值。实验证明这种新方法能够有效地提高信噪比15dB。
【Abstract】 This paper introduces an algorithm of adaptive Kalman filter and its microcomputer software for extracting EEG signal. In practical applicatiom, thisfiltering method can get the optimal estimation of EEG signal disturbed by noises or irrelevant signals completely through analysis in time domain with the least transcendental knowledge of parameters of signal and noise model. Such a new method has proved to be capable of effectively improving SNR approximately by 15dB.
- 【文献出处】 信号处理 ,Signal Processing , 编辑部邮箱 ,1994年04期
- 【分类号】TN911
- 【被引频次】6
- 【下载频次】265