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The Shannon Noiseless coding theorem (the data-compression principle) asserts that for an information source with an alphabet X = {0,. .. , − 1} and an asymptotic equipartition property, one can reduce the number of stored strings (x 0 ,. .. , x n−1) ∈ X n to nh with an arbitrary small error-probability. Here h is the entropy rate of the source (calculated(More)
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