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Related papers: A bound on the size of linear codes

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We present some upper bounds on the size of non-linear codes and their restriction to systematic codes and linear codes. These bounds are independent of other known theoretical bounds, e.g. the Griesmer bound, the Johnson bound or the…

Information Theory · Computer Science 2016-11-18 Emanuele Bellini , Eleonora Guerrini , Massimiliano Sala

Most bounds on the size of codes hold for any code, whether linear or nonlinear. Notably, the Griesmer bound, holds only in the linear case. In this paper we characterize a family of systematic nonlinear codes for which the Griesmer bound…

Information Theory · Computer Science 2015-02-27 Emanuele Bellini , Eleonora Guerrini , Alessio Meneghetti , Massimiliano Sala

We give a new asymptotic upper bound on the size of a code in the Grassmannian space. The bound is better than the upper bounds known previously in the entire range of distances except very large values.

Information Theory · Computer Science 2019-05-14 Alexander Barg , Dmitry Nogin

Most bounds on the size of codes hold for any code, whether linear or not. Notably, the Griesmer bound holds only in the linear case and so optimal linear codes are not necessarily optimal codes. In this paper we identify code parameters…

Information Theory · Computer Science 2016-04-18 Eleonora Guerrini , Alessio Meneghetti , Massimiliano Sala

We generalize the Griesmer bound in the case of systematic codes over a field of size q greater than the distance d of the code. We also generalize the Griesmer bound in the case of any systematic code of distance 2,3,4 and in the case of…

Information Theory · Computer Science 2013-10-16 Emanuele Bellini

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

Finding the largest code with a given minimum distance is one of the most basic problems in coding theory. In this paper, we study the linear programming bound for codes in the Lee metric. We introduce refinements on the linear programming…

Information Theory · Computer Science 2014-06-16 Helena Astola , Ioan Tabus

A linear graph code is a family $\mathcal{C}$ of graphs on $n$ vertices with the property that the symmetric difference of the edge sets of any two graphs in $\mathcal{C}$ is also the edge set of a graph in $\mathcal{C}$. In this article,…

Combinatorics · Mathematics 2024-04-24 Leo Versteegen

Let $C$ be a binary code of length $n$ with distances $0<d_1<\cdots<d_s\le n$. In this note we prove a general upper bound on the size of $C$ without any restriction on the distances $d_i$. The bound is asymptotically optimal.

Combinatorics · Mathematics 2025-03-13 Ivan Landjev , Konstantin Vorobev

Linear codes have been an interesting topic in both theory and practice for many years. In this paper, a class of $q$-ary linear codes with few weights are presented and their weight distributions are determined using Gauss periods. Some of…

Information Theory · Computer Science 2018-11-26 Gaopeng Jian

We introduce the concepts of complex Grassmannian codes and designs. Let G(m,n) denote the set of m-dimensional subspaces of C^n: then a code is a finite subset of G(m,n) in which few distances occur, while a design is a finite subset of…

Combinatorics · Mathematics 2008-06-16 Aidan Roy

We give an upper bound that relates the minimum weight of a nonzero componentwise product of codewords from some given number of linear codes, with the dimensions of these codes. Its shape is a direct generalization of the classical…

Information Theory · Computer Science 2016-11-18 Hugues Randriambololona

We investigate universal bounds on spherical codes and spherical designs that could be obtained using Delsarte's linear programming methods. We give a lower estimate for the LP upper bound on codes, and an upper estimate for the LP lower…

Combinatorics · Mathematics 2007-07-13 Alex Samorodnitsky

The error coefficient of a linear code is defined as the number of minimum-weight codewords. In an additive white Gaussian noise channel, optimal linear codes with the smallest error coefficients achieve the best possible asymptotic frame…

Information Theory · Computer Science 2025-07-09 Chaofeng Guan , Shitao Li , Gaojun Luo , Zhi Ma , Hong Wang

We provide a combinatorial construction for linear codes attaining the maximum possible number of distinct weights. We then introduce the related problem of determining the existence of linear codes with an arbitrary number of distinct…

Combinatorics · Mathematics 2018-04-20 Alessio Meneghetti

We construct two series of linear codes over finite ring $\mathbb{F}_{q}[x]/(x^2)$ and Galois ring $GR(p^2,m)$ respectively reaching the Griesmer bound. They derive two series of codes over finite field $\mathbb{F}_{q}$ by Gray map. The…

Information Theory · Computer Science 2016-12-06 Jin Li , Aixian Zhang , Keqin Feng

Upper bounds on the maximum number of codewords in a binary code of a given length and minimum Hamming distance are considered. New bounds are derived by a combination of linear programming and counting arguments. Some of these bounds…

Information Theory · Computer Science 2007-07-13 Beniamin Mounits , Tuvi Etzion , Simon Litsyn

In this paper, based on the theory of defining sets, two classes of at most six-weight linear codes over $\mathbb{F}_p$ are constructed. The weight distributions of the linear codes are determined by means of Gaussian period and Weil sums.…

Information Theory · Computer Science 2024-12-19 Xina Zhang

In this short note we give a new upper bound for the size of a set family with a single Hamming distance. Our proof is an application of the linear algebra bound method.

Combinatorics · Mathematics 2024-09-28 Gábor Hegedüs

Bounds on linear codes play a central role in coding theory, as they capture the fundamental trade-off between error-correction capability (minimum distance) and information rate (dimension relative to length). Classical results…

Information Theory · Computer Science 2025-09-04 Liren Lin , Guanghui Zhang , Bocong Chen , Hongwei Liu
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