ITLGJan 26, 2024

Cyclic Group Projection for Enumerating Quasi-Cyclic Codes Trapping Sets

arXiv:2401.14810v1
Originality Synthesis-oriented
AI Analysis

This work addresses a specific challenge in coding theory for quasi-cyclic codes, but it appears incremental as it builds on existing mathematical frameworks without claiming broad breakthroughs.

The paper tackled the problem of enumerating and assessing Trapping sets in quasi-cyclic codes with non-prime circulant sizes by introducing a novel approach that leverages quasi-cyclic properties and a tabular technique to streamline importance sampling for estimating pseudo-codeword weight, resulting in a method that draws on a mathematical framework for projection and lifting transformations.

This paper introduces a novel approach to enumerate and assess Trapping sets in quasi-cyclic codes, those with circulant sizes that are non-prime numbers. Leveraging the quasi-cyclic properties, the method employs a tabular technique to streamline the importance sampling step for estimating the pseudo-codeword weight of Trapping sets. The presented methodology draws on the mathematical framework established in the provided theorem, which elucidates the behavior of projection and lifting transformations on pseudo-codewords

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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