Densities of Codes of Various Linearity Degrees in Translation-Invariant Metric Spaces

  • Anina Gruica
  • , Anna-Lena Horlemann
  • , Alberto Ravagnani
  • , Nadja Willenborg (Corresponding author)

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)
98 Downloads (Pure)

Abstract

We investigate the asymptotic density of error-correcting codes with good distance properties and prescribed linearity degree, including sublinear and nonlinear codes. We focus on the general setting of finite translation-invariant metric spaces, and then specialize our results to the Hamming metric, to the rank metric, and to the sum-rank metric. Our results show that the asymptotic density of codes heavily depends on the imposed linearity degree and the chosen metric.
Original languageEnglish
Pages (from-to)609-637
Number of pages29
JournalDesigns, Codes and Cryptography
Volume92
Issue number3
Early online date23 May 2023
DOIs
Publication statusPublished - Mar 2024

Funding

FundersFunder number
Koninklijke Nederlandse Akademie van Wetenschappen
Nederlandse Organisatie voor Wetenschappelijk OnderzoekOCENW.KLEIN.539, VI.Vidi.203.045

    Keywords

    • cs.IT
    • cs.DM
    • math.IT
    • Hamming metric
    • Sum-rank metric
    • Gilbert–Varshamov bound
    • Rank metric
    • Graph theory
    • Sublinear codes
    • Singleton-type bound
    • Asymptotic density

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