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We study the asymptotics of the remaining uncertainty of a source when a compressed version of it and correlated side-information is observed. Instead of measuring the remaining uncertainty using Shannon measures, we do so using two forms of the conditional Rényi entropy. We show that these asymptotic results are generalizations of the strong converse exponent and the error exponent of Slepian-Wolf...
In this paper, we evaluate the asymptotics of equivocations and their exponents. Specifically, we consider the effect of applying a hash function on a source and we quantify the level of non-uniformity and dependence of the compressed source from another correlated source. Unlike previous works that use the Shannon information measures to quantify randomness or information, in this paper, we consider...
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