Binary Codes From Subset Inclusion Matrices

ABSTRACT In this paper, we study the minimum distances of binary linear codes with parity check matrices formed from subset inclusion matrices , representing ‐element subsets versus ‐element subsets of an ‐element set. We provide both lower and upper bounds on the minimum distances of these codes and determine the exact values for any and sufficiently large . Our study combines design and integer linear programming techniques. The codes we consider are connected to LDPC codes and combinatorial designs. Furthermore, we construct quasi‐cyclic LDPC codes from inclusion matrices that exhibit performance comparable to or slightly better than MacKay‐type codes when evaluated using bit flipping and min‐sum algorithms.

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Publication Details

Journal
Journal of Combinatorial Designs
Published
2025-10-12
DOI
https://doi.org/10.1002/jcd.22012
Citations
1
Primary Topic
Error Correcting Code Techniques
Type
article
Field-Weighted Citation Impact
1.49
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article

Binary Codes From Subset Inclusion Matrices

I. Yu. Mogilnykh, Andrea Marin
1 citations
Journal of Combinatorial Designs
Error Correcting Code Techniques
1.49
article

Binary Codes From Subset Inclusion Matrices

I. Yu. Mogilnykh, Andrea Marin
article en
1 citations

Abstract

ABSTRACT In this paper, we study the minimum distances of binary linear codes with parity check matrices formed from subset inclusion matrices , representing ‐element subsets versus ‐element subsets of an ‐element set. We provide both lower and upper bounds on the minimum distances of these codes and determine the exact values for any and sufficiently large . Our study combines design and integer linear programming techniques. The codes we consider are connected to LDPC codes and combinatorial designs. Furthermore, we construct quasi‐cyclic LDPC codes from inclusion matrices that exhibit performance comparable to or slightly better than MacKay‐type codes when evaluated using bit flipping and min‐sum algorithms.

Journal of Combinatorial DesignsVol. 34(2)
Novosibirsk State University (RU), Sobolev Institute of Mathematics (RU)
Openalex Percentile: Top 12%
Error Correcting Code Techniques
1.49
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