Intrinsic Capacity

被引：0

作者：

Yang, Shengtian ^{[1
,2
]}

Xu, Rui ^{[2
]}

Chen, Jun ^{[2
]}

Zhang, Jian-Kang ^{[2
]}

机构：

[1] Zhejiang Gongshang Univ, Sch Informat & Elect Engn, Hangzhou 310018, Zhejiang, Peoples R China

[2] McMaster Univ, Dept Elect & Comp Engn, Hamilton, ON L8S 4K1, Canada

来源：

2017 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT) | 2017年

基金：

中国国家自然科学基金;

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Every channel can he expressed as a convex combination of deterministic channels with each deterministic channel corresponding to one particular intrinsic state. Such convex combinations are in general not unique, each giving rise to a specific intrinsic-state distribution. In this paper we study the maximum and the minimum capacities of a channel when the realization of its intrinsic state is causally available at the encoder and/or the decoder. Several conclusive results are obtained for binary-input channels and binary-output channels. Byproducts of our investigation include a generalization of the Birkhoff-von Neumann theorem and a condition on the uselessness of causal state information at the encoder.

引用

页码：2073 / 2077

页数：5

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