English
Related papers

Related papers: One dimensional Convolutional Goppa Codes over the…

200 papers

Two-dimensional (2D) convolutional codes are a generalization of (1D) convolutional codes, which are very appropriate for transmission over an erasure channel. In this paper, we present a decoding algorithm for 2D convolutional codes over…

Information Theory · Computer Science 2020-06-19 Julia Lieb , Raquel Pinto

In this paper we show how to construct new convolutional codes from old ones by applying the well-known techniques: puncturing, extending, expanding, direct sum, the (u|u + v) construction and the product code construction. By applying…

Information Theory · Computer Science 2013-03-21 Giuliano G. La Guardia

This paper presents a large-scale computational study on the dimensional properties of twisted Goppa codes. Through the systematic analysis of over 50,000 parameter sets, we uncover a remarkable deterministic regularity: the actual…

Information Theory · Computer Science 2025-11-18 Kai Wang

In this paper, we give algorithms and methods of construction of self-dual codes over finite fields using orthogonal matrices. Randomization in the orthogonal group, and code extension are the main tools. Some optimal, almost MDS, and MDS…

Information Theory · Computer Science 2016-10-26 Minjia Shi , Lin Sok , Patrick Solé

We define and study a class of codes obtained from scrolls over curves of any genus over finite fields. These codes generalize Goppa codes in a natural way, and the orthogonal complements of these codes belong to the same class. We show how…

Algebraic Geometry · Mathematics 2007-05-23 George H. Hitching , Trygve Johnsen

In this note, we investigate Goppa codes which are constructed by means of Elliptic function field and Hyperelliptic function field. We also give a simple criterion for self-duality of these codes.

Algebraic Geometry · Mathematics 2019-03-20 Nupur Patanker , Sanjay Kumar Singh

In this paper, we obtain some new results on the existence of MDS self-dual codes utilizing (extended) generalized Reed-Solomon codes over finite fields of odd characteristic. For some fixed $q$, our results can produce more classes of MDS…

Information Theory · Computer Science 2018-07-30 Khawla Labad , Honwei Liu , Jinquan Luo

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

In this paper, two new families of MDS quantum convolutional codes are constructed. The first one can be regarded as a generalization of \cite[Theorem 6.5]{GGGlinear}, in the sense that we do not assume that $q\equiv1\pmod{4}$. More…

Information Theory · Computer Science 2015-06-22 Guanghui Zhang , Bocong Chen , Liangchen Li

MDS convolutional codes have the property that their free distance is maximal among all codes of the same rate and the same degree. In this paper we introduce a class of MDS convolutional codes whose column distances reach the generalized…

Rings and Algebras · Mathematics 2007-07-16 Heide Gluesing-Luerssen , Joachim Rosenthal , Roxana Smarandache

Convolutional codes are constructed, designed and analysed using row and/or block structures of unit algebraic schemes. Infinite series of such codes and of codes with specific properties are derived. Properties are shown algebraically and…

Rings and Algebras · Mathematics 2018-04-04 Ted Hurley

In this paper we study the dual codes of a wide family of evaluation codes on norm-trace curves. We explicitly find out their minimum distance and give a lower bound for the number of their minimum-weight codewords. A general geometric…

Algebraic Geometry · Mathematics 2013-09-04 Edoardo Ballico , Alberto Ravagnani

Based on the fundamental results on MDS self-dual codes over finite fields constructed via generalized Reed-Solomon codes \cite{JX} and extended generalized Reed-Solomon codes \cite{Yan}, many series of MDS self-dual codes with different…

Information Theory · Computer Science 2019-05-17 Aixian Zhang , Keqin Feng

Generalized Goppa codes are defined by a code locator set $\mathcal{L}$ of polynomials and a Goppa polynomial $G(x)$. When the degree of all code locator polynomials in $\mathcal{L}$ is one, generalized Goppa codes are classical Goppa…

Information Theory · Computer Science 2021-06-22 Hedongliang Liu , Sabine Pircher , Alexander Zeh , Antonia Wachter-Zeh

In the present paper, we derive several conditions of linear combinations and convolutions of harmonic mappings to be univalent and convex in one direction, one of them gives a partial answer to an open problem proposed by Dorff. The…

Complex Variables · Mathematics 2021-11-02 Zhi-Gang Wang , Lei Shi , Yue-Ping Jiang

The matrix completion problem provides a unifying lens through which many fundamental problems in coding theory can be viewed. In this paper, we investigate Locally Recoverable Codes (LRCs) with Maximal Recoverability (MR) and Maximum…

Information Theory · Computer Science 2026-04-24 Sakshi Dang , Julia Lieb , Pedro Soto , Alex Sprintson

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

A general method for constructing convolutional codes from units in Laurent series over matrix rings is presented. Using group ring as matrix rings, this forms a basis for in-depth exploration of convolutional codes from group ring…

Information Theory · Computer Science 2007-11-26 Ted Hurley

MDS self-dual codes have nice algebraic structures and are uniquely determined by lengths. Recently, the construction of MDS self-dual codes of new lengths has become an important and hot issue in coding theory. In this paper, we develop…

Information Theory · Computer Science 2022-10-04 Ruhao Wan , Yang Li , Shixin Zhu

It is known that maximum distance separable and maximum distance profile convolutional codes exist over large enough finite fields of any characteristic for all parameters $(n,k,\delta)$. It has been conjectured that the same is true for…

Optimization and Control · Mathematics 2008-01-03 Ryan Hutchinson