2013Unpublished venueRequires access

The meta-converse bound is tight

Gonzalo Vazquez-Vilar, Adrià Tauste Campo, Albert Guillén i Fàbregas, Alfonso García Martínez

Open publisher page 4 citations

Abstract

We show that the meta-converse bound derived by Polyanskiy et al. provides the exact error probability for a fixed joint source-channel code and an appropriate choice of the bound parameters. While the expression is not computable in general, it identifies the weaknesses of known converse bounds to the minimum achievable error probability.

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What this paper is about

We show that the meta-converse bound derived by Polyanskiy et al. provides the exact error probability for a fixed joint source-channel code and an appropriate choice of the bound parameters. While the expression is not computable in general, it identifies the weaknesses of known converse bounds to the minimum achievable error probability.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We show that the meta-converse bound derived by Polyanskiy et al. provides the exact error probability for a fixed joint source-channel code and an appropriate choice of the bound parameters. While the expression is not computable in general, it identifies the weaknesses of known converse bounds to the minimum achievable error probability.

Key concepts: Converse, Upper and lower bounds, Probability of error, Mathematics, Computer science, Code (set theory), Discrete mathematics, Algorithm

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