Information Theory Toolbox

版本 1.0.0.0 (4.3 KB) 作者: Mo Chen

Functions for Information theory, such as entropy, mutual information, KL divergence, etc

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更新时间 2016/3/7

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This toolbox contains functions for DISCRETE random variables to compute following quantities:
1)Entropy
2)Joint entropy
3)Conditional entropy
4)Relative entropy (KL divergence)
5)Mutual information
6)Normalized mutual information
7)Normalized variation information
This package is now a part of the PRML toolbox (http://www.mathworks.com/matlabcentral/fileexchange/55826-pattern-recognition-and-machine-learning-toolbox).

引用格式

Mo Chen (2026). Information Theory Toolbox (https://ww2.mathworks.cn/matlabcentral/fileexchange/35625-information-theory-toolbox), MATLAB Central File Exchange. 检索时间: 2026/1/26.

MATLAB 版本兼容性

创建方式 R2011b

兼容任何版本

平台兼容性

Windows macOS Linux

类别

Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Transforms > Discrete Fourier and Cosine Transforms > Fast Fourier Transforms >

在 Help Center 和 MATLAB Answers 中查找有关 Fast Fourier Transforms 的更多信息

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致谢

参考作品: Normalized Mutual Information, Pattern Recognition and Machine Learning Toolbox

InfoTheory/

版本	已发布	发行说明
1.0.0.0	2016/3/7	minor tweak, more demos	下载