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Related papers: Convolutional Goppa codes defined on fibrations

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In this note, we give a construction of codes on algebraic function field $F/ \mathbb{F}_{q}$ using places of $F$ (not necessarily of degree one) and trace functions from various extensions of $\mathbb{F}_{q}$. This is a generalization of…

Information Theory · Computer Science 2021-04-15 Nupur Patanker , Sanjay Kumar Singh

We define the bidirectional distance profile (BDP) of a convolutional code as the minimum of the distance profiles of the code and its corresponding "reverse" code. We present tables of codes with the optimum BDP (OBDP), which minimize the…

Information Theory · Computer Science 2023-11-30 Ivan Stanojević , Vojin Šenk

It is shown that subclasses of separable binary Goppa codes, $\Gamma(L,G)$ - codes, with $L=\{\alpha \in GF(2^{2l}):G(\alpha)\neq 0 \}$ and special Goppa polynomials G(x) can be presented as a chain of embedded codes. The true minimal…

Information Theory · Computer Science 2007-07-30 Sergey Bezzateev , Natalia Shekhunova

In 1997 Rosenthal and York defined generalized Hamming weights for convolutional codes, by regarding a convolutional code as an infinite dimensional linear code endowed with the Hamming metric. In this paper, we propose a new definition of…

Information Theory · Computer Science 2022-07-26 Elisa Gorla , Flavio Salizzoni

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

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

Construction of good quantum codes via classical codes is an important task for quantum information and quantum computing. In this work, by virtue of a decomposition of the defining set of constacyclic codes we have constructed eight new…

Information Theory · Computer Science 2019-01-11 Mehmet E. Koroglu

Quantum maximal-distance-separable (MDS) codes form an important class of quantum codes. It is very hard to construct quantum MDS codes with relatively large minimum distance. In this paper, based on classical constacyclic codes, we…

Information Theory · Computer Science 2014-05-22 Liqi Wang , Shixin Zhu

Let $p$ be a prime number and $s> 0$ an integer. In this short note, we investigate one-point geometric Goppa codes associated with an elementary abelian $p$-extension of $\mathbb{F}_{p^{s}}(x)$. We determine their dimension and the exact…

Information Theory · Computer Science 2020-07-08 Nupur Patanker , Sanjay Kumar Singh

Convolutional codes are a class of error-correcting codes that performs very well over erasure channels with low delay requirements. In particular, Maximum Distance Profile (MDP) convolutional codes, which are defined to have optimal column…

Information Theory · Computer Science 2026-03-26 Zita Abreu , Julia Lieb , Raquel Pinto

Symbol-pair code is a new coding framework which is proposed to correct errors in the symbol-pair read channel. In particular, maximum distance separable (MDS) symbol-pair codes are a kind of symbol-pair codes with the best possible…

Information Theory · Computer Science 2016-08-10 Shuxing Li , Gennian Ge

We will construct an MDS(= the most distance separable) code $C$ which admits a decomposition such that every factor is still MDS. An effective way of decoding will be also discussed.

Information Theory · Computer Science 2013-10-15 Ken-ichi Sugiyama

A linear code with parameters $[n, k, n-k+1]$ is called a maximum distance separable (MDS for short) code. A linear code with parameters $[n, k, n-k]$ is said to be almost maximum distance separable (AMDS for short). A linear code is said…

Information Theory · Computer Science 2023-07-11 Zhonghua Sun , Cunsheng Ding

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

Quantum convolutional codes can be used to protect a sequence of qubits of arbitrary length against decoherence. In this paper, we give two new constructions of quantum MDS convolutional codes derived from generalized Reed-Solomon codes and…

Information Theory · Computer Science 2015-11-06 Baokun Ding , Tao Zhang , Gennian Ge

Most design approaches for trellis-coded quantization take advantage of the duality of trellis-coded quantization with trellis-coded modulation, and use the same empirically-found convolutional codes to label the trellis branches. This…

Information Theory · Computer Science 2007-12-20 Lorenzo Cappellari

In this paper, we introduce code distances, a new family of invariants for linear codes. We establish some properties and prove bounds on the code distances, and show that they are not invariants of the matroid (for a linear block code) or…

Information Theory · Computer Science 2025-09-23 Eduardo Camps-Moreno , Elisa Gorla , Hiram H. López

This work deals with partial MDS (PMDS) codes, a special class of locally repairable codes, used for distributed storage system. We first show that a known construction of these codes, using Gabidulin codes, can be extended to use any…

Information Theory · Computer Science 2018-01-19 Alessandro Neri , Anna-Lena Horlemann-Trautmann

This paper studies the decoding capabilities of maximum distance profile (MDP) convolutional codes over the erasure channel and compares them with the decoding capabilities of MDS block codes over the same channel. The erasure channel…

Information Theory · Computer Science 2009-03-18 Virtudes Tomás , Joachim Rosenthal , Roxana Smarandache

We define a notion of r-generalized column distances for the j-truncation of a convolutional code. Taking the limit as j tends to infinity allows us to define r-generalized column distances of a convolutional code. We establish some…

Information Theory · Computer Science 2022-12-26 Elisa Gorla , Flavio Salizzoni