k近邻互信息估计源代码,简单易用，可用于估计多维互信息 -kNN mutual information estimator by Kraskov

计算Kraskov估计的互信息值。首先计算各样本的最近邻，然后给出两种互信息值。-computes the Kraskov estimator for the mutual information.k: nearest neighbour. Output: I1, I2: the two estimator of MI.

Kraskov熵估计，主要用于信号香农熵的性能比较，对于评价熵的性能很重要-Kraskov entropy estimation, which is mainly used for the performance comparison of the signal Shannon entropy, is very important for the uation of the performance of entropy

KNN算法,互信息估计，来自于mathworks，经测试可以使用(KNN algorithm, mutual information estimates, from mathworks, tested can be used)