Extension of some results for channel capacity using a generalized information measure

Aharon Ben-Tal; Marc Teboulle

doi:10.1007/BF01448363

Extension of some results for channel capacity using a generalized information measure

Aharon Ben-Tal^*, Marc Teboulle

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

A new formulation for the channel capacity problem is derived by using the duality theory of convex programming. The simple nature of this dual representation is suitable for computational purposes. The results are derived in a unified way by formulating the channel capacity problem as a special case of a general class of concave programming problems involving a generalized information measure recently introduced by Burbea and Rao [10].

Original language	English
Pages (from-to)	121-132
Number of pages	12
Journal	Applied Mathematics and Optimization
Volume	17
Issue number	1
DOIs	https://doi.org/10.1007/BF01448363
State	Published - Jan 1988
Externally published	Yes

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abstract = "A new formulation for the channel capacity problem is derived by using the duality theory of convex programming. The simple nature of this dual representation is suitable for computational purposes. The results are derived in a unified way by formulating the channel capacity problem as a special case of a general class of concave programming problems involving a generalized information measure recently introduced by Burbea and Rao [10].",

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Extension of some results for channel capacity using a generalized information measure

Abstract

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