Titlebook: Entropy and Information Theory; Robert M. Gray Book 19901st edition Springer-Verlag New York 1990 Normal.Random variable.Shannon.behavior.

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https://doi.org/10.1057/978-1-137-59491-4g., a random variable, vector, or waveform. Hence sequences of pairs of random objects such as {..,..} are included in the general framework. We now focus on the possible interrelations between the two components of such a pair process. In particular, we consider the situation where we begin with on

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rst and then later form the overall result by combining these special cases. In the first case we assume that the channel is noiseless, but it is constrained in the sense that it can only pass . bits per input symbol to the receiver. Since this is usually insufficient for the receiver to perfectly r

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https://doi.org/10.1007/978-3-031-67019-0eful, however, to explicitly treat the notion of time as a transformation of sequences produced by the source. Thus in addition to the common random process model we shall also consider modeling sources by dynamical systems as considered in ergodic theory.

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