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Constructions of MDS convolutional codes using superregular matrices

Lieb, Julia; Pinto, Raquel (2020). Constructions of MDS convolutional codes using superregular matrices. Journal of Algebra Combinatorics Discrete Structures and Applications, 7(1):73-84.

Abstract

Maximum distance separable convolutional codes are the codes that present best performance in error correction among all convolutional codes with certain rate and degree. In this paper, we show that taking the constant matrix coefficients of a polynomial matrix as submatrices of a superregular matrix, we obtain a column reduced generator matrix of an MDS convolutional code with a certain rate and a certain degree. We then present two novel constructions that fulfill these conditions by considering two types of superregular matrices.

Additional indexing

Item Type:Journal Article, not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Mathematics
Dewey Decimal Classification:340 Law
610 Medicine & health
510 Mathematics
Uncontrolled Keywords:Discrete Mathematics and Combinatorics, Algebra and Number Theory
Language:English
Date:2020
Deposited On:10 Nov 2021 14:23
Last Modified:20 Apr 2022 08:46
Publisher:Yildiz Technical University
ISSN:2148-838X
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.13069/jacodesmath.645029
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  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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