
TL;DR
This paper precisely determines the minimum distance and dimension of a specific family of BCH codes, resolving three open problems and advancing the theoretical understanding of these codes.
Contribution
It establishes exact parameters for narrow-sense BCH codes, solving longstanding open problems and building on previous theoretical frameworks.
Findings
Exact minimum distance and dimension formulas derived
Resolves three open problems in BCH code theory
Advances understanding of BCH code parameters
Abstract
Despite the theoretical and practical significance of BCH codes, the exact minimum distance and dimension remain unknown for many families. This paper establishes the precise minimum distance and dimension of narrow-sense BCH codes over of length and designed distance , where , , and . These results conclusively resolve the three open problems posed by Li et al. (IEEE Trans. Inf. Theory, vol. 63, no. 11, pp. 7219-7236, Nov. 2017) while establishing complementary advances to Ding's seminal framework (IEEE Trans. Inf. Theory, vol. 61, no. 10, pp. 5322-5330, Oct. 2015).
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
