Abstract
This article presents an innovative method for constructing two-dimensional cyclic codes based on the use of primitive idempotents defined via cyclotomic orbits. Our approach exploits the decomposition of the quotient ring \(R = {{{\mathbb{F}}_{q}{\lbrack x,y\rbrack}}/{\langle{x^{s} - 1},{y^{\ell} - 1}\rangle}}\) into a direct product of copies of \({\mathbb{F}}_{q}\) using central primitive idempotents. This decomposition enables the explicit construction of vector space bases and optimized generator matrices for two-dimensional codes. The method incorporates spectral analysis via the discrete Fourier transform, establishing a fundamental link between combinatorial (cyclotomic orbits) and algebraic (primitive idempotents) representations of generator idempotents. We demonstrate that the set \(B = {\{{x^{m}y^{n}e{(x,y)}}\mid{{0 \leq m < k},{0 \leq n < \ell^{\prime}}}\}}\) forms a basis of the two-dimensional cyclic code, with parameters \(\lbrack{s\ell},{k\ell^{\prime}},{{({{s - k} + 1})}{({{\ell - \ell^{\prime}} + 1})}}\rbrack\). The results are validated by explicit examples and generator matrix constructions, offering precise control over code parameters and effectively generalizing BCH-type bounds to the two-dimensional context. This systematic approach fills an important gap in the design of high-performance multidimensional codes.
Full text
621 characters
· extracted from
oa-doi-fallback
· click to expand
There is a newer version available for this {{ publicationType }}. View latest version
{{ publication.field_name }}
{{ publication.subfield_name }}
Copyright: © {{ publicationYear }} {{ publication.presentation_authors[0].full_name + (publication.presentation_authors.length > 1 ? ' et al' : '') }}. This is an open access publication distributed under the terms of the CC BY 4.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Check the {{ publicationType | capitalize }} Source for copyright and license information.
Listen on
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.