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Granger-causality

于 2020-11-09 发布文件大小:80KB

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代码说明：

格兰杰因果分析算法，用于编程实现脑电信号之间的因果性检测，其中有两种算法。一种基于线性自回归，一种是对前一种的改进(Granger causality analysis algorithm for programming the detection of causality between the EEG, which has two algorithms. Based on linear autoregression, one is to improve the former' s)

文件列表：

arfit.m,5731,2010-09-25
arord.m,3432,2011-02-05
arqr.m,2739,2002-04-30
covm.m,4228,2011-11-11
EEGData_Connectivity_ShortTime.m,5485,2011-11-13
license.txt,1323,2014-02-12
mvaar.m,4575,2011-11-11
mvar.m,29000,2011-11-11
PDC_DTF_matrix.m,2808,2016-04-27
Read me.txt,1059,2011-11-11
SampleEEG.mat,57588,2011-11-13
SimulatedModel_Connectivity_AAR.m,6321,2016-04-27
SimulatedModel_Connectivity_ShortTime.m,6301,2016-03-27
testdtf.m,3237,2016-03-30

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