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Intrinsic Capacity.

Authors :
Yang, Shengtian
Xu, Rui
Chen, Jun
Zhang, Jian-Kang
Source :
IEEE Transactions on Information Theory. Mar2019, Vol. 65 Issue 3, p1345-1360. 16p.
Publication Year :
2019

Abstract

Every channel can be 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 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. By-products 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189448
Volume :
65
Issue :
3
Database :
Academic Search Index
Journal :
IEEE Transactions on Information Theory
Publication Type :
Academic Journal
Accession number :
134886992
Full Text :
https://doi.org/10.1109/TIT.2018.2885324