New constructions of MSRD codes

Abstract In this work, we provide four methods for constructing new maximum sum-rank distance (MSRD) codes. The first method, a variant of cartesian products, allows faster decoding than known MSRD codes of the same parameters. The other three methods allow us to extend or modify existing MSRD codes in order to obtain new explicit MSRD codes for sets of matrix sizes (numbers of rows and columns in different blocks) that were not attainable by previous constructions. In this way, we show that MSRD codes exist (by giving explicit constructions) for new ranges of parameters, in particular with different numbers of rows and columns at different positions.

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Publication Details

Journal
Computational and Applied Mathematics
Published
2024-09-06
DOI
https://doi.org/10.1007/s40314-024-02915-z
Citations
1
Primary Topic
Algorithms and Data Compression
Type
article
Field-Weighted Citation Impact
0.35

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article

New constructions of MSRD codes

Umberto Martínez-Peñas
1 citations
Computational and Applied Mathematics
Algorithms and Data Compression
0.35
article

New constructions of MSRD codes

Umberto Martínez-Peñas
article en
1 citations

Abstract

Abstract In this work, we provide four methods for constructing new maximum sum-rank distance (MSRD) codes. The first method, a variant of cartesian products, allows faster decoding than known MSRD codes of the same parameters. The other three methods allow us to extend or modify existing MSRD codes in order to obtain new explicit MSRD codes for sets of matrix sizes (numbers of rows and columns in different blocks) that were not attainable by previous constructions. In this way, we show that MSRD codes exist (by giving explicit constructions) for new ranges of parameters, in particular with different numbers of rows and columns at different positions.

Computational and Applied MathematicsVol. 43(7)
Universidad de Valladolid (ES)
European Commission, Ministerio de Ciencia e Innovación, Universidad de Valladolid, European Regional Development Fund, Agencia Estatal de Investigación
Openalex Percentile: Top 34%
Algorithms and Data Compression
0.35
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