A tight upper bound for the third-order asymptotics of discrete memoryless channels

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Conference Proceeding
IEEE International Symposium on Information Theory - Proceedings, 2013, pp. 1536 - 1540
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This paper shows that the logarithm of the ε-error capacity (average error probability) for n uses of a discrete memoryless channel with positive conditional information variance at every capacity-achieving input distribution is upper bounded by the normal approximation plus a term that does not exceed 1/2 log n + O(1). © 2013 IEEE.
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