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Codes in the Grassmannian have recently found an application in random network coding. All the codewords in such codes are subspaces of $\F_q^n$ with a given dimension. In this paper, we consider the problem of list decoding of a certain…

Information Theory · Computer Science 2014-06-20 Anna-Lena Trautmann , Natalia Silberstein , Joachim Rosenthal

Schubert calculus provides algebraic tools to solve enumerative problems. There have been several applied problems in systems theory, linear algebra and physics which were studied by means of Schubert calculus. The method is most powerful…

Information Theory · Computer Science 2012-09-14 Joachim Rosenthal , Anna-Lena Trautmann

We consider the problem of determining Gr\"obner bases of binomial ideals associated with linear error correcting codes. Computation of Gr\"obner bases of linear codes have become a topic of interest to many researchers in coding theory…

Information Theory · Computer Science 2017-07-25 Arunkumar R. Patil , Nitin S. Darkunde

A new class of folded subspace codes for noncoherent network coding is presented. The codes can correct insertions and deletions beyond the unique decoding radius for any code rate $R\in[0,1]$. An efficient interpolation-based decoding…

Information Theory · Computer Science 2015-04-22 Hannes Bartz , Vladimir Sidorenko

The Grassmannian space $\Gr$ is the set of all $k-$dimensional subspaces of the vector space~\smash{$\F_q^n$}. Recently, codes in the Grassmannian have found an application in network coding. The main goal of this paper is to present…

Information Theory · Computer Science 2010-08-31 Natalia Silberstein , Tuvi Etzion

In this paper we present a decoding algorithm for algebraic geometry codes with error-correcting capacity beyond half the designed distance of the code. This algorithm comes as a fusion of the Power Error Locating Pairs algorithm for…

Information Theory · Computer Science 2021-03-24 Isabella Panaccione

Sparsity-based representations have recently led to notable results in various visual recognition tasks. In a separate line of research, Riemannian manifolds have been shown useful for dealing with features and models that do not lie in…

Machine Learning · Computer Science 2015-05-21 Mehrtash Harandi , Richard Hartley , Chunhua Shen , Brian Lovell , Conrad Sanderson

Cyclic orbit codes are a family of constant dimension codes used for random network coding. We investigate the Pl\"ucker embedding of these codes and show how to efficiently compute the Grassmann coordinates of the code words.

Information Theory · Computer Science 2012-05-10 Anna-Lena Trautmann

A new effective decoding algorithm is presented for arbitrary algebraic-geometric codes on the basis of solving a generalized key equation with the majority coset scheme of Duursma. It is an improvement of Ehrhard's algorithm, since the…

Algebraic Geometry · Mathematics 2025-10-20 J. I. Farran

Given a homogeneous component of an exterior algebra, we characterize those subspaces in which every nonzero element is decomposable. In geometric terms, this corresponds to characterizing the projective linear subvarieties of the Grassmann…

Algebraic Geometry · Mathematics 2009-03-31 Sudhir R. Ghorpade , Arunkumar R. Patil , Harish K. Pillai

Tensor codes are a generalisation of matrix codes. Such codes are defined as subspaces of order-r tensors for which the ambient space is endowed with the tensor-rank as a metric. A class of these codes was introduced by Roth, who also…

Information Theory · Computer Science 2026-05-14 Eimear Byrne , Alain Couvreur , Lucien François

In this manuscript, we consider decoding Grassmann codes, linear codes associated to Grassmannian of planes in an affine space. We look at the orbit structure of Grassmannian arising from the natural action of multiplicative group of…

Information Theory · Computer Science 2021-06-23 Fernando Piñero , Prasant Singh

Permutation decoding is a process that utilizes the permutation automorphism group of a linear code to correct errors in received words. Given a received word, a set of automorphisms, called a PD set, moves errors out of the information…

Information Theory · Computer Science 2026-02-25 Monica Lichtenwalner , Hiram H. López , Gretchen L. Matthews , Padmapani Seneviratne

We discuss the problem of determining the complete weight hierarchy of linear error correcting codes associated to Grassmann varieties and, more generally, to Schubert varieties in Grassmannians. The problem is partially solved in the case…

Combinatorics · Mathematics 2009-11-06 Sudhir R. Ghorpade , Arunkumar R. Patil , Harish K. Pillai

In this work, we modify the decoding algorithm for subspace codes by Koetter and Kschischang to get a decoding algorithm for (generalized) twisted Gabidulin codes. The decoding algorithm we present applies to cases where the code is linear…

Information Theory · Computer Science 2017-05-23 Tovohery Randrianarisoa , Joachim Rosenthal

A spread code is a set of vector spaces of a fixed dimension over a finite field Fq with certain properties used for random network coding. It can be constructed in different ways which lead to different decoding algorithms. In this work we…

Information Theory · Computer Science 2014-06-20 Felice Manganiello , Anna-Lena Trautmann

We develop numerical homotopy algorithms for solving systems of polynomial equations arising from the classical Schubert calculus. These homotopies are optimal in that generically no paths diverge. For problems defined by hypersurface…

alg-geom · Mathematics 2025-10-20 Birkett Huber , Frank Sottile , Bernd Sturmfels

We consider linear error correcting codes associated to higher dimensional projective varieties defined over a finite field. The problem of determining the basic parameters of such codes often leads to some interesting and difficult…

Combinatorics · Mathematics 2007-05-23 Sudhir R. Ghorpade , Michael A. Tsfasman

Subspace codes and rank-metric codes can be used to correct errors and erasures in network, with linear network coding. Subspace codes were introduced by Koetter and Kschischang to correct errors and erasures in networks where topology is…

Information Theory · Computer Science 2012-02-07 Hessam Mahdavifar , Alexander Vardy

The problem of error-control in random linear network coding is considered. A ``noncoherent'' or ``channel oblivious'' model is assumed where neither transmitter nor receiver is assumed to have knowledge of the channel transfer…

Information Theory · Computer Science 2008-03-25 Ralf Koetter , Frank Kschischang
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