二值和任意有限随机变量的互信息的紧下界作为变分距离的函数

2014 Australian Communications Theory Workshop (AusCTW) Pub Date : 2013-01-24 DOI:10.1109/AusCTW.2014.6766418

Arno G. Stefani, Johannes B. Huber, Christophe Jardin, H. Sticht

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引用次数: 1

摘要

本文给出了一种求二元和任意有限随机变量间互信息的紧下界的数值方法，其联合分布与已知联合分布的变分距离不大于一个已知值。该下界可应用于具有置信区间的互信息估计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A tight lower bound on the mutual information of a binary and an arbitrary finite random variable as a function of the variational distance

In this paper a numerical method is presented, which finds a tight lower bound for the mutual information between a binary and an arbitrary finite random variable with joint distributions that have variational distance to a known joint distribution not greater than a known value. This lower bound can be applied to mutual information estimation with confidence intervals.

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2014 Australian Communications Theory Workshop (AusCTW)

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