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We study the minimum distance of codes defined on bipartite graphs. Weight spectrum and the minimum distance of a random ensemble of such codes are computed. It is shown that if the vertex codes have minimum distance $\ge 3$, the overall…

Information Theory · Computer Science 2007-07-13 Alexander Barg , Gilles Zemor

The additive codes may have better parameters than linear codes. However, it is still a challenging problem to efficiently construct additive codes that outperform linear codes, especially those with greater distances than linear codes of…

Information Theory · Computer Science 2023-06-22 Chaofeng Guan , Ruihu Li , Yiting Liu , Zhi Ma

In this paper, we analyze $m$-dimensional ($m$D) convolutional codes with finite support, viewed as a natural generalization of one-dimensional (1D) convolutional codes to higher dimensions. An $m$D convolutional code with finite support…

Information Theory · Computer Science 2026-03-26 Z. Abreu , J. Lieb , R. Pinto , R. Simoes

Maximum-distance separable (MDS) convolutional codes form an optimal family of convolutional codes, the study of which is of great importance. There are very few general algebraic constructions of MDS convolutional codes. In this paper, we…

Information Theory · Computer Science 2015-11-24 Chin Hei Chan , Maosheng Xiong

We construct new linear codes with high minimum distance d. In at least 12 cases these codes improve the minimum distance of the previously known best linear codes for fixed parameters n,k. Among these new codes there is an optimal ternary…

Information Theory · Computer Science 2007-07-16 Axel Kohnert

Maximum distance profile (MDP) convolutional codes have the property that their column distances are as large as possible. It has been shown that, transmitting over an erasure channel, these codes have optimal recovery rate for windows of a…

Information Theory · Computer Science 2017-12-27 Julia Lieb

Algebraic methods for the design of series of maximum distance separable (MDS) linear block and convolutional codes to required specifications and types are presented. Algorithms are given to design codes to required rate and required…

Information Theory · Computer Science 2022-07-14 Ted Hurley

Two new classes of skew codes over a finite field $\F$ are proposed, called skew convolutional codes and skew trellis codes. These two classes are defined by, respectively, left or right sub-modules over the skew fields of fractions of skew…

Information Theory · Computer Science 2021-02-03 Vladimir Sidorenko , Wenhui Li , Onur Günlü , Gerhard Kramer

This paper contributes to maximum distance separable (MDS) and near MDS (NMDS) properties of the extended generalized twisted Reed-Solomon (TGRS) codes. Firstly, a family of extended TGRS (ETGRS) are constructed by appending three columns…

Information Theory · Computer Science 2026-05-25 Yanli Wang , Yanxin Chen , Tongjiang Yan

Certain simplicial complexes are used to construct a subset $D$ of $\mathbb{F}_{2^n}^m$ and $D$, in turn, defines the linear code $C_{D}$ over $\mathbb{F}_{2^n}$ that consists of $(v\cdot d)_{d\in D}$ for $v\in \mathbb{F}_{2^n}^m$. Here we…

Information Theory · Computer Science 2022-04-19 Vidya Sagar , Ritumoni Sarma

Additive codes may have better parameters than linear codes. However, still very few cases are known and the explicit construction of such codes is a challenging problem. Here we show that a Griesmer type bound for the length of additive…

Information Theory · Computer Science 2026-05-11 Sascha Kurz

The free distance of a convolutional code is a reliable indicator of its performance. However its computation is not an easy task. In this paper, we present some algorithms to compute the free distance with good efficiency that work for…

Information Theory · Computer Science 2024-02-06 Zita Abreu , Joachim Rosenthal , Michael Schaller

New families of maximum distance separable (MDS) codes are constructed from elliptic curves by exploiting their group structures. In contrast to classical constructions based on divisors supported at a single rational point, the proposed…

Information Theory · Computer Science 2025-10-28 Puyin Wang , Wei Liu , Jinquan Luo , Dengxin Zhai

We construct constant-sized ensembles of linear error-correcting codes over any fixed alphabet that can correct a given fraction of adversarial erasures at rates approaching the Singleton bound arbitrarily closely. We provide several…

Information Theory · Computer Science 2025-04-07 Yeyuan Chen , Mahdi Cheraghchi , Nikhil Shagrithaya

Codes defined on graphs and their properties have been subjects of intense recent research. On the practical side, constructions for capacity-approaching codes are graphical. On the theoretical side, codes on graphs provide several…

Information Theory · Computer Science 2009-05-15 Srimathy Srinivasan , Andrew Thangaraj

We study the Singleton-type bound that provides an upper limit on the minimum distance of locally repairable codes. We present an improved bound by carefully analyzing the combinatorial structure of the repair sets. Thus, we show the…

Information Theory · Computer Science 2020-11-11 Han Cai , Cuiling Fan , Ying Miao , Moshe Schwartz , Xiaohu Tang

Maximum distance separable (MDS) codes are optimal where the minimum distance cannot be improved for a given length and code size. Twisted Reed-Solomon codes over finite fields were introduced in 2017, which are generalization of…

Information Theory · Computer Science 2020-08-11 Hongwei Liu , Shengwei Liu

In this paper we present a concrete algebraic construction of a novel class of convolutional codes. These codes are built upon generalized Vandermonde matrices and therefore can be seen as a natural extension of Reed-Solomon block codes to…

Information Theory · Computer Science 2023-03-06 Gianira N. Alfarano , Diego Napp , Alessandro Neri , Verónica Requena

Given any linear code $C$ over a finite field $GF(q)$ we show how $C$ can be described in a transparent and geometrical way by using the associated Bruen-Silverman code. Then, specializing to the case of MDS codes we use our new approach to…

Combinatorics · Mathematics 2023-01-23 T. L. Alderson , A. A. Bruen , R. Silverman

We construct a new family of explicit codes that are list decodable to capacity and achieve an optimal list size of $O(\frac{1}{\epsilon})$. In contrast to existing explicit constructions of codes achieving list decoding capacity, our…

Information Theory · Computer Science 2025-02-12 Fernando Granha Jeronimo , Tushant Mittal , Shashank Srivastava , Madhur Tulsiani