实现ARburg算法，提取脑电信号或者心电信号的特征值-Achieve ARburg algorithm of EEG or ECG features of value

计算一维时间序列的Renyi熵，可作为脑电信号的特征提取方法，从而对脑电的复杂度进行分析-The Renyi entropy of one dimensional time series can be calculated as a feature extraction method of EEG signal, which can be used to analyze the complexity of EEG.

通过小波四层分解，获取脑电信号的四个波形，之后运用多变量多尺度熵计算综合MMSE，为脑电信号识别做基础(After four layers of wavelet decomposition, four waveforms of EEG signals are acquired, and then the MMSE is calculated by using multivariable and multi-scale entropy, which is the basis of EEG reco

脑电信号处理流程，滤波，特征提取，意图识别(EEG signal processing, filtering, feature extraction, intention recognition)