Entropy and Information Theory - Stanford University
https://ee.stanford.edu/~gray/it.pdf
WEBmon to ergodic theory and information theory and comprise several quantitative notions of the information in random variables, random processes, and dynam-ical systems. Examples are entropy, mutual information, conditional entropy, conditional information, and relative entropy (discrimination, Kullback-Leibler
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