利用梅西差距。
Exploiting the Massey Gap.
作者信息
Tănăsescu Andrei, Popescu Pantelimon George
机构信息
Department of Computer Science and Engineering, University Politehnica of Bucharest, Splaiul Independentei 313 (6), 060042 Bucharest, Romania.
出版信息
Entropy (Basel). 2020 Dec 11;22(12):1398. doi: 10.3390/e22121398.
Abstract
In this paper, we find new refinements to the Massey inequality, which relates the Shannon and guessing entropies, introducing a new concept: the Massey gap. By shrinking the Massey gap, we improve all previous work without introducing any new parameters, providing closed-form strict refinements, as well as a numerical procedure improving them even further.
摘要
在本文中，我们找到了对梅西不等式的新改进，该不等式将香农熵和猜测熵联系起来，引入了一个新概念：梅西差距。通过缩小梅西差距，我们在不引入任何新参数的情况下改进了以往的所有工作，提供了封闭形式的严格改进，以及进一步改进它们的数值程序。
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