This an updated new edition of the popular elementary introduction to probability theory and information theory, now containing additional material on Markov chains and their entropy. Suitable as a textbook for beginning students in mathematics,

信息论实验仿真。包括马尔科夫信源、huffman编码、瑞利分布、分组码编码、熵计算等等。-Information theory experimental simulation. Markov source, huffman coding, Rayleigh distribution block code encoding, entropy calculations, and so on.

分别假定英文信源为m 0,1,2,...,5 阶马尔科夫链考察其熵率、 信息 冗余度和结构信息；仅考虑英文的 阶马尔科夫链考察其熵率、 信息 冗余度和结构信息；仅考虑英文的 26 个字母，不区分大小写。 用MATLAB 实现。-English sources are assumed as m 0,1,2, ..., 5-order Markov chain examine its entropy rate, information redundancy and structu

这个只是一个计算马尔科夫系统传递熵的matlab，函数希望大家能把他用到高维中，并分享(This is just a calculation of Markov system transfer entropy MATLAB, function, I hope we can use it to high dimension, and share)