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web_mi.rar
- 计算两个离散时间序列变量间的信息熵和互信息,Calculation of two discrete time series between the variable information entropy and mutual information
MATLAB
- 用MATLAB计算图像信息熵，图像为遥感融合图像tm与spot图像IHS、PCA融合-Calculation of Entropy
shangdematlab
- 熵与条件熵，疑义度，噪声熵，互信息等计算程序熵与条件熵，疑义度，噪声熵，互信息等计算程序-Entropy and conditional entropy, equivocation, noise Entropy, mutual information, and procedures for Entropy and conditional entropy calculation, doubt, noise Entropy, mutual information calculation progra
mutual__inc
- matlab熵，联合熵和互信息的程序，亲自测试过-entropy,mutual information entropy,good matlab code,play enjoy
image_entrophy
- 256级灰度图像信息熵MATLAB代码，图像像素是离散的-256 grayscale image information entropy MATLAB code, image pixels is discrete
seiying_v16
- 计算互信息非常有用的一组程序,BP神经网络的整个训练过程,这是第二能量熵的matlab代码。- Mutual information is useful to calculate a set of procedures, The entire training process BP neural network, This is the second energy entropy matlab code.
UEMC
- 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
rank-of-school
- 基于matlab，利用信息熵法排序。例子为对学校进行排序-Based on matlab, using information entropy ordering. Examples of the sort of school
bunmen
- 复化三点Gauss-lengend公式求pi，计算互信息非常有用的一组程序,这是第二能量熵的matlab代码。- Complex of three-point Gauss-lengend the Formula pi, Mutual information is useful to calculate a set of procedures, This is the second energy entropy matlab code.
MATLAB
- 任意马尔科夫序列用MATLAB对每一个出现的字符统计个数并计算频率和信息熵-The arbitrary Markoff sequence uses MATLAB to compute the number of characters that appear, and calculates the frequency and the entropy of the information
互信息熵的matlab代码
- 实现互信息程序化，对于互信息熵计算还有联合熵计算可以实现，不用手动计算，方便快捷。(To achieve mutual information programming, for mutual information entropy calculation and joint entropy calculation can be achieved, without manual calculation, convenient and quick.)
MATLAB
- 根据信息熵的定义，对于某项指标，可以用熵值来判断某个指标的离散程度，其熵值越小，指标的离散程度越大，该指标对综合评价的影响（即权重）就越大，如果某项指标的值全部相等，则该指标在综合评价中不起作用。(According to the definition of information entropy, the entropy value can be used to judge the degree of dispersion of a certain index. The smaller the