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PCN Equivalence Class Invariants and Information Quantities

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The switching variables in a switching circuit are considered as binary random variables. The input signals are given joint probabilities, from which the output signals' probabilities are known. The joint entropy, or average information content, of subsets of variables is defined, and a proof is given that a set of these entropies are characteristic invariants of the PCN equivalence classes.

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Computers, IEEE Transactions on  (Volume:C-20 ,  Issue: 6 )