4.5 Article

On the Randomness of Independent Experiments

期刊

IEEE TRANSACTIONS ON INFORMATION THEORY
卷 57, 期 4, 页码 1865-1871

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIT.2011.2110230

关键词

Data compression; nonasymptotic information theory; quantitative asymptotic equipartition property (AEP); randomness extraction; smooth entropies

资金

  1. Swiss National Science Foundation (SNSF)

向作者/读者索取更多资源

Smooth entropies characterize basic information-theoretic properties of random variables, such as the number of bits required to store them or the amount of uniform randomness that can be extracted from them (possibly with respect to side information). In this paper, explicit and almost tight bounds on the smooth entropies of n-fold product distributions, P-n, are derived. These bounds are expressed in terms of the Shannon entropy of a single distribution, P. The results can be seen as an extension of the asymptotic equipartition property (AEP).

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