乘积分布的信息散度近似

2013 13th Canadian Workshop on Information Theory Pub Date : 2013-02-01 DOI:10.1109/CWIT.2013.6621596

J. Hou, G. Kramer

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引用次数: 43

摘要

基于非标准化信息散度精确近似产品分布所需的最小速率显示为互信息。这个结果包含了Wyner关于公共信息和Han-Verdú关于可解析性的结果。该结果也适用于源分布未知但熵已知的情况。

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Informational divergence approximations to product distributions

The minimum rate needed to accurately approximate a product distribution based on an unnormalized informational divergence is shown to be a mutual information. This result subsumes results of Wyner on common information and Han-Verdú on resolvability. The result also extends to cases where the source distribution is unknown but the entropy is known.

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2013 13th Canadian Workshop on Information Theory

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