Two-Class Joint Source-Channel Coding: Expurgated Exponents with i.i.d. Distributions

Fuente: arXiv
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Auteurs principaux: Moeini, Seyed AmirPouya, Fàbregas, Albert Guillén i
Format: Preprint
Publié: 2026
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author Moeini, Seyed AmirPouya
Fàbregas, Albert Guillén i
author_facet Moeini, Seyed AmirPouya
Fàbregas, Albert Guillén i
contents This paper studies expurgated exponents for joint source-channel coding of discrete memoryless sources and channels under i.i.d. random coding. We show that a two-class partitioning of source sequences, where the codeword distribution depends on the source type, achieves an exponent at least as high as that of optimal single-class coding, in which the codeword distribution is independent of the source message.
format Preprint
id arxiv_https___arxiv_org_abs_2601_14985
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Two-Class Joint Source-Channel Coding: Expurgated Exponents with i.i.d. Distributions
Moeini, Seyed AmirPouya
Fàbregas, Albert Guillén i
Information Theory
This paper studies expurgated exponents for joint source-channel coding of discrete memoryless sources and channels under i.i.d. random coding. We show that a two-class partitioning of source sequences, where the codeword distribution depends on the source type, achieves an exponent at least as high as that of optimal single-class coding, in which the codeword distribution is independent of the source message.
title Two-Class Joint Source-Channel Coding: Expurgated Exponents with i.i.d. Distributions
topic Information Theory
url https://arxiv.org/abs/2601.14985