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Autori principali: Castañeda, Ángel Luis Muñoz, Decastro-García, Noemí, Carriegos, Miguel V.
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2411.18316
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author Castañeda, Ángel Luis Muñoz
Decastro-García, Noemí
Carriegos, Miguel V.
author_facet Castañeda, Ángel Luis Muñoz
Decastro-García, Noemí
Carriegos, Miguel V.
contents Observable convolutional codes defined over Zpr with the Predictable Degree Property admit minimal input/state/output representations that preserve structural properties under scalar restriction. We make use of this fact to present Rosenthal's decoding algorithm for these convolutional codes. When combined with the Greferath-Vellbinger algorithm and a modified version of the Torrecillas-Lobillo-Navarro algorithm, the decoding problem of convolutional codes over Zpr reduces to selecting two decoding algorithms for linear block codes over a field. Finally, we analyze both the theoretical and practical error-correction capabilities of the combined algorithm as well as its time complexity.
format Preprint
id arxiv_https___arxiv_org_abs_2411_18316
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Decoding convolutional codes over finite rings. A linear dynamical systems approach
Castañeda, Ángel Luis Muñoz
Decastro-García, Noemí
Carriegos, Miguel V.
Information Theory
94B10, 94B35, 93B20
Observable convolutional codes defined over Zpr with the Predictable Degree Property admit minimal input/state/output representations that preserve structural properties under scalar restriction. We make use of this fact to present Rosenthal's decoding algorithm for these convolutional codes. When combined with the Greferath-Vellbinger algorithm and a modified version of the Torrecillas-Lobillo-Navarro algorithm, the decoding problem of convolutional codes over Zpr reduces to selecting two decoding algorithms for linear block codes over a field. Finally, we analyze both the theoretical and practical error-correction capabilities of the combined algorithm as well as its time complexity.
title Decoding convolutional codes over finite rings. A linear dynamical systems approach
topic Information Theory
94B10, 94B35, 93B20
url https://arxiv.org/abs/2411.18316