Explore MATLAB source code curated for "信息论" with clean implementations, documentation, and examples.
General computational methods for core information theory concepts including entropy, joint entropy, conditional entropy, and mutual information with code implementation insights
General computational approaches for key information theory metrics including entropy, joint entropy, conditional entropy, and average mutual information with code implementation considerations
Comprehensive calculation methods for core information theory metrics including entropy, joint entropy, conditional entropy, and mutual information with code implementation considerations
Feature selection method using mutual information for identifying the most relevant feature subset through statistical dependency quantification
MATLAB programs for computing various entropy metrics including Shannon entropy, Renyi entropy, and other advanced entropy measures with code implementation details.