Papers for

digital communication developers

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Reed solomon decoding methods correct more insertion and deletion errors

Insdel Reed-Solomon Decoding Algorithms up to the Half-Singleton Bound

Abstract: In this paper, we focus on decoding optimal Reed-Solomon codes of dimension two for insdel errors up to the half-Singleton bound. We present a decoding algorithm for the general insertion-and-deletion scenario with a time complexity smaller than brute-force decoding. Our algorithm corrects insdel errors up to the half-Singleton bound, which exceeds the scope of existing methods. Additionally, for the special cases of insertion-only and deletion-only insdel error patterns, we present two different algorithms with a time complexity smaller than our general algorithm.

Sun 11 OctInformation Theory
The gist
Communication and storage systems sometimes lose or add extra pieces in transmitted messages, causing errors. Decoding these messages correctly is important to recover the original information. The authors focus on a special type of error called insertion and deletion errors for certain Reed-Solomon codes. They designed new algorithms that can correct more of these errors efficiently than previous methods. Their work offers faster ways to fix messages even when errors involve insertions only or deletions only.
Open → 2610.15413v1

Linear codes proven to meet coverage bounds up to redundancy fourteen

Auxiliary Codes and the Generalized Packing-Covering Conjecture

Abstract: The generalized packing--covering conjecture asks whether, at every order, the packing radius of a linear code is at most its covering radius. We prove the conjecture for every linear code of redundancy at most fourteen over every finite field, extending the previously established redundancy-seven range. We also prove the generalized Hamming-weight bound $d_t(C)\le2R_t(C)+1$ whenever the alphabet size $q$ satisfies $q\ge R_t(C)$, using an auxiliary-code criterion that converts a syndrome-space covering property into a weight bound. For binary primitive BCH codes, the packing radius is strictly smaller than the covering radius for every fixed error parameter and order, both at least two, once the extension degree is sufficiently large; this follows from existing covering bounds.

Wed 16 SeptInformation Theory
The gist
This paper studies special patterns called linear codes used to detect and correct errors in data. It looks at two key measures—how many errors can be spotted (packing radius) and how well the code can cover all possible error patterns (covering radius). The authors prove that for a wide class of codes, the packing radius is always at most the covering radius, settling this question up to a certain code complexity. They also find new bounds relating code properties and show some codes behave differently at large sizes.
Open → 2609.19098v1