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What is Markov Chain Model Overview about?

Here are the answers to some of the questions: 1. A Markov source of mth order means that the probability of the next symbol depends only on the previous m symbols. So a first order Markov source depends only on the previous single symbol, a second order Markov source depends on the previous two symbols, and so on. 2. The entropy of a joint event E1E2 is given by I(E1E2) = I(E1) + I(E2|E1), where I(E2|E1) is the conditional information of E2 given E1. 3. The maximum entropy of a source with eight symbo

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pradyumna

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EN