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Information Theory and Coding by Example by Yuri Suhov, Mark Kelbert

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1

Essentials of Information Theory

Throughout the book, the symbol image denotes various probability distributions. In particular, in Chapter 1, image refers to the probabilities for sequences of random variables characterising sources of information. As a rule, these are sequences of independent and identically distributed random variables or discrete-time Markov chains; namely, image(U1 = u1,…,Un = un) is the joint probability that random variables U1,…,Un take ...

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