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Related papers: Decoding High-Order Interleaved Rank-Metric Codes

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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

Maximum Hermitian rank metric codes were introduced by Schmidt in 2018 and in this paper we propose both interpolation-based encoding and decoding algorithms for this family of codes when the length and the minimum distance of the code are…

Information Theory · Computer Science 2021-06-25 Wrya K. Kadir , Chunlei Li , Ferdinando Zullo

In this paper we present an interpolation-based decoding algorithm to decode a family of maximum rank distance codes proposed recently by Trombetti and Zhou. We employ the properties of the Dickson matrix associated with a linearized…

Information Theory · Computer Science 2021-05-10 Wrya K. Kadir , Chunlei Li , Ferdinando Zullo

So far, there is no polynomial-time list decoding algorithm (beyond half the minimum distance) for Gabidulin codes. These codes can be seen as the rank-metric equivalent of Reed--Solomon codes. In this paper, we provide bounds on the list…

Information Theory · Computer Science 2016-11-17 Antonia Wachter-Zeh

Rank-metric codes have been a central topic in coding theory due to their theoretical and practical significance, with applications in network coding, distributed storage, crisscross error correction, and post-quantum cryptography. Recent…

Information Theory · Computer Science 2025-10-08 Valentina Astore , Martino Borello , Marco Calderini , Flavio Salizzoni

We design the first efficient algorithms and prove new combinatorial bounds for list decoding tensor products of codes and interleaved codes. We show that for {\em every} code, the ratio of its list decoding radius to its minimum distance…

Information Theory · Computer Science 2008-11-27 Parikshit Gopalan , Venkatesan Guruswami , Prasad Raghavendra

(Partial) Unit Memory ((P)UM) codes provide a powerful possibility to construct convolutional codes based on block codes in order to achieve a high decoding performance. In this contribution, a construction based on Gabidulin codes is…

Information Theory · Computer Science 2011-02-16 Antonia Wachter , Vladimir Sidorenko , Martin Bossert , Victor Zyablov

An efficient decoding algorithm for horizontally u-interleaved LRPC codes is proposed and analyzed. Upper bounds on the decoding failure rate and the computational complexity of the algorithm are derived. It is shown that interleaving…

Information Theory · Computer Science 2019-08-29 Julian Renner , Thomas Jerkovits , Hannes Bartz

In this article, we investigate the decoding of the rank metric Reed--Muller codes introduced by Augot, Couvreur, Lavauzelle and Neri in 2021. These codes are defined from Abelian Galois extensions extending the construction of Gabidulin…

Information Theory · Computer Science 2025-11-26 Alain Couvreur , Rakhi Pratihar

We introduce a new family of rank metric codes: Low Rank Parity Check codes (LRPC), for which we propose an efficient probabilistic decoding algorithm. This family of codes can be seen as the equivalent of classical LDPC codes for the rank…

Information Theory · Computer Science 2019-04-02 Nicolas Aragon , Philippe Gaborit , Adrien Hauteville , Olivier Ruatta , Gilles Zémor

We show that decoding of $\ell$-Interleaved Gabidulin codes, as well as list-$\ell$ decoding of Mahdavifar--Vardy codes can be performed by row reducing skew polynomial matrices. Inspired by row reduction of $\F[x]$ matrices, we develop a…

Information Theory · Computer Science 2016-07-15 Sven Puchinger , Johan Rosenkilde né Nielsen , Wenhui Li , Vladimir Sidorenko

In this paper we study generalized weights as an algebraic invariant of a code. We first describe anticodes in the Hamming and in the rank metric, proving in particular that optimal anticodes in the rank metric coincide with…

Information Theory · Computer Science 2015-10-16 Alberto Ravagnani

Rank-metric codes were studied by E. Gabidulin in 1985 after a brief introduction by Delsarte in 1978 as an equivalent of Reed-Solomon codes, but based on linearized polynomials. They have found applications in many areas, including linear…

Information Theory · Computer Science 2023-12-21 Ousmane Ndiaye , Peter Arnaud Kidoudou , Hervé Tale Kalachi

Neural network decoding algorithms are recently introduced by Nachmani et al. to decode high-density parity-check (HDPC) codes. In contrast with iterative decoding algorithms such as sum-product or min-sum algorithms in which the weight of…

Information Theory · Computer Science 2018-09-14 Mohammad-Reza Sadeghi , Farzane Amirzade , Daniel Panario , Amin Sakzad

We propose the first non-trivial generic decoding algorithm for codes in the sum-rank metric. The new method combines ideas of well-known generic decoders in the Hamming and rank metric. For the same code parameters and number of errors,…

Information Theory · Computer Science 2021-10-29 Sven Puchinger , Julian Renner , Johan Rosenkilde

Interleaved Reed-Solomon codes admit efficient decoding algorithms which correct burst errors far beyond half the minimum distance in the random errors regime, e.g., by computing a common solution to the Key Equation for each Reed-Solomon…

Over fields of characteristic unequal to $2$, we can identify symmetric matrices with homogeneous polynomials of degree $2$. This allows us to view symmetric rank-metric codes as living inside the space of such polynomials. In this paper,…

Information Theory · Computer Science 2023-03-14 Arthur Bik , Alessandro Neri

Gabidulin codes, originally defined over finite fields, are an important class of rank metric codes with various applications. Recently, their definition was generalized to certain fields of characteristic zero and a Welch--Berlekamp like…

Information Theory · Computer Science 2016-04-22 Sven Müelich , Sven Puchinger , David Mödinger , Martin Bossert

We present a novel technique for encoding and decoding constant weight binary codes that uses a geometric interpretation of the codebook. Our technique is based on embedding the codebook in a Euclidean space of dimension equal to the weight…

Combinatorics · Mathematics 2014-09-17 Chao Tian , Vinay A. Vaishampayan , N. J. A. Sloane

For a growing number of applications such as cellular, peer-to-peer, and sensor networks, efficient error-free transmission of data through a network is essential. Toward this end, K\"{o}tter and Kschischang propose the use of subspace…

Information Theory · Computer Science 2013-04-03 Katherine Morrison