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Intrinsic Capacity.
- 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]
- Subjects :
- *CONVEX functions
*BINARY control systems
*ENCODING
*CAUSAL models
*GRAPH theory
Subjects
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