On the burst-covering radius of binary cyclic codes

πŸ“… 2026-01-01
πŸ›οΈ arXiv.org
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This study investigates the burst error covering capability of binary cyclic codes and introduces the novel concept of β€œburst covering radius” to characterize the extent to which codewords cover all possible burst error patterns. By analyzing pattern frequencies in linear feedback shift register (LFSR) sequences, the authors establish a connection between these sequences and the algebraic structure of cyclic codes, deriving a general upper bound on the burst covering radius. Notably, tighter bounds are obtained for the first time for primitive BCH codes and Melas codes. Building on these theoretical results, the paper further presents an efficient algorithm for constructing cyclic codes with enhanced burst covering performance. Integrating algebraic coding theory, LFSR sequence analysis, and combinatorial bounding techniques, this work provides new theoretical tools and practical solutions for code design in burst error-prone environments.

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πŸ“ Abstract
We define and study burst-covering codes. We provide some general bounds connecting the code parameters with its burst-covering radius. We then provide stronger bounds on the burst-covering radius of cyclic codes, by employing linear-feedback shift-register (LFSR) sequences. For the case of BCH codes we prove a new bound on pattern frequencies in LFSR sequences, which is of independent interest. Using this tool, we can bound the covering-radius of binary primitive BCH codes and Melas codes. We conclude with an efficient algorithm for burst-covering cyclic codes.
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Research questions and friction points this paper is trying to address.

burst-covering radius
binary cyclic codes
BCH codes
covering radius
LFSR sequences
Innovation

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burst-covering radius
cyclic codes
LFSR sequences
BCH codes
covering radius
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Gabriel Sac Himelfarb
Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, L8S 4K1, Canada
Moshe Schwartz
Moshe Schwartz
Electrical and Computer Engineering, McMaster University
Coding theorycombinatoricsdigital sequences