Franaszczuk P J, Blinowska K J
Biol Cybern. 1985;53(1):19-25. doi: 10.1007/BF00355687.
EEG time series were modeled as an output of the linear filter driven by white noise. Parameters describing the signal were determined in a way fulfilling the maximum entropy principle. Transfer function and the impulse response function were found. The solutions of the differential equations describing the system have the form of the damped oscillatory modes. The representation of the EEG time series as a superposition of the resonant modes with characteristic decay factors seems a valuable method of the analysis of the signal, since it offers high reduction of the data to the few parameters of a clear physiological meaning.
脑电图（EEG）时间序列被建模为白噪声驱动的线性滤波器的输出。描述该信号的参数是以满足最大熵原理的方式确定的。找到了传递函数和脉冲响应函数。描述该系统的微分方程的解具有阻尼振荡模式的形式。将EEG时间序列表示为具有特征衰减因子的共振模式的叠加，似乎是一种有价值的信号分析方法，因为它能将数据高度简化为几个具有明确生理意义的参数。
