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A general formula for channel capacity
1994
IEEE Transactions on Information Theory
A formula for the capacity of arbitrary single-user channels without feedback (not necessarily information stable, stationary, etc.) is proved. Capacity is shown to equal the supremum, over all input processes, of the input-output inf information rate defined as the liminf in probability of the normalized information density. The key to this result is a new converse approach based on a simple new lower bound on the error probability of m-ary hypothesis tests among equiprobable hypotheses. A
doi:10.1109/18.335960
fatcat:pcg4rjztx5bh3h4ptqjpxp2yci