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This document discusses information theory and coding. It begins by defining entropy, which is the average information content per symbol for a statistically independent sequence of symbols from a source alphabet. Entropy is calculated as the sum, across all symbols, of the probability of each symbol occurring multiplied by its information content. The document then introduces Markov models for information sources. A discrete stationary Markov process provides a statistical model for symbol sequences from

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Aviral Kedia

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EN