The mismatch capacity under stochastic decoding equals the supremum over input distribution sequences of the limit inferior in probability of the normalized mismatched information densities, with the limit of expectations serving as an achievable upper bound for discrete memoryless channels with a C
Information-Theoretic Foundations of Mismatched Decoding
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Mismatch Capacity under Stochastic Decoding
The mismatch capacity under stochastic decoding equals the supremum over input distribution sequences of the limit inferior in probability of the normalized mismatched information densities, with the limit of expectations serving as an achievable upper bound for discrete memoryless channels with a C