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相关论文: A Novel Lowest Density MDS Array Code

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Maximum Distance Profile (MDP) convolutional codes are an important class of channel codes due to their maximal delay-constrained error correction capabilities. The design of MDP codes has attracted significant attention from the research…

信息论 · 计算机科学 2025-07-15 Sakshi Dang , Julia Lieb , Okko Makkonen , Pedro Soto , Alex Sprintson

Maximum Distance Separable (MDS) codes with a sparse and balanced generator matrix are appealing in distributed storage systems for balancing and minimizing the computational load. Such codes have been constructed via Reed-Solomon codes…

信息论 · 计算机科学 2020-11-12 Tingting Chen , Xiande Zhang

Regenerating codes provide an efficient way to recover data at failed nodes in distributed storage systems. It has been shown that regenerating codes can be designed to minimize the per-node storage (called MSR) or minimize the…

信息论 · 计算机科学 2013-01-14 Yunghsiang S. Han , Hong-Ta Pai , Rong Zheng , Pramod K. Varshney

Maximum distance separable (MDS) array codes constitute an important class of error-correcting codes due to their optimal distance properties and their relevance in distributed storage systems. In this paper, we investigate the construction…

This paper presents a design technique for obtaining regular time-invariant low-density parity-check convolutional (RTI-LDPCC) codes with low complexity and good performance. We start from previous approaches which unwrap a low-density…

信息论 · 计算机科学 2016-11-17 Marco Baldi , Giovanni Cancellieri , Franco Chiaraluce

Erasure codes play an important role in storage systems to prevent data loss. In this work, we study a class of erasure codes called Multi-Erasure Locally Recoverable Codes (ME-LRCs) for flash memory array. Compared to previous related…

信息论 · 计算机科学 2017-01-24 Pengfei Huang , Eitan Yaakobi , Paul H. Siegel

Regenerating codes provide an efficient way to recover data at failed nodes in distributed storage systems. It has been shown that regenerating codes can be designed to minimize the per-node storage (called MSR) or minimize the…

信息论 · 计算机科学 2014-06-26 Yunghsiang Han , Hung-Ta Pai , Rong Zheng , Pramod K. Varshney

MDS codes are erasure-correcting codes that can correct the maximum number of erasures for a given number of redundancy or parity symbols. If an MDS code has $r$ parities and no more than $r$ erasures occur, then by transmitting all the…

信息论 · 计算机科学 2014-11-25 Zhiying Wang , Itzhak Tamo , Jehoshua Bruck

This paper presents a construction for high-rate MDS codes that enable bandwidth-efficient repair of a single node. Such MDS codes are also referred to as the minimum storage regenerating (MSR) codes in the distributed storage literature.…

信息论 · 计算机科学 2016-01-26 Ankit Singh Rawat , O. Ozan Koyluoglu , Sriram Vishwanath

Maximum distance separable (MDS) codes are optimal error-correcting codes in the sense that they provide the maximum failure-tolerance for a given number of parity nodes. Suppose that an MDS code with $k$ information nodes and $r=n-k$…

信息论 · 计算机科学 2016-04-11 Min Ye , Alexander Barg

This paper focuses on error-correcting codes that can handle a predefined set of specific error patterns. The need for such codes arises in many settings of practical interest, including wireless communication and flash memory systems. In…

信息论 · 计算机科学 2021-02-05 Mira Gonen , Michael Langberg , Alex Sprintson

The optimal branch number of MDS matrices makes them a preferred choice for designing diffusion layers in many block ciphers and hash functions. Consequently, various methods have been proposed for designing MDS matrices, including search…

信息论 · 计算机科学 2026-04-10 Kishan Chand Gupta , Sumit Kumar Pandey , Susanta Samanta

This article presents a new algorithm to find MDS matrices that are well suited for use as a diffusion layer in lightweight block ciphers. Using an recursive construction, it is possible to obtain matrices with a very compact description.…

密码学与安全 · 计算机科学 2013-05-16 Daniel Augot , Matthieu Finiasz

Low density lattice codes (LDLC) are novel lattice codes that can be decoded efficiently and approach the capacity of the additive white Gaussian noise (AWGN) channel. In LDLC a codeword x is generated directly at the n-dimensional…

信息论 · 计算机科学 2007-07-13 Naftali Sommer , Meir Feder , Ofir Shalvi

A Maximum Distance Separable code over an alphabet $F$ is defined via an encoding function $C:F^k \rightarrow F^n$ that allows to retrieve a message $m \in F^k$ from the codeword $C(m)$ even after erasing any $n-k$ of its symbols. The…

信息论 · 计算机科学 2020-05-15 Mira Gonen , Ishay Haviv , Michael Langberg , Alex Sprintson

We propose a new type of short to moderate block-length, linear error-correcting codes, called moderate-density parity-check (MDPC) codes. The number of ones of the parity-check matrix of the codes presented is typically higher than the…

信息论 · 计算机科学 2009-11-18 Samuel Ouzan , Yair Be'ery

We consider non-binary product codes with MDS components and their iterative row-column algebraic decoding on the erasure channel. Both independent and block erasures are considered in this paper. A compact graph representation is…

信息论 · 计算机科学 2016-03-07 Fanny Jardel , Joseph J. Boutros

A maximum distance separable (MDS) array code is composed of $m\times (k+r)$ arrays such that any $k$ out of $k+r$ columns suffice to retrieve all the information symbols. Expanded-Blaum-Roth (EBR) codes and Expanded-Independent-Parity…

信息论 · 计算机科学 2022-09-14 Hanxu Hou , Yunghsiang S. Han , Patrick P. C. Lee , You Wu , Guojun Han , Mario Blaum

One approach to designing structured low-density parity-check (LDPC) codes with large girth is to shorten codes with small girth in such a manner that the deleted columns of the parity-check matrix contain all the variables involved in…

离散数学 · 计算机科学 2016-11-18 Olgica Milenkovic , Navin Kashyap , David Leyba

In the literature, most of the known high-rate $(n,k)$ MDS array codes with the optimal repair property only support a single repair degree (i.e., the number of helper nodes contacted during a repair process) $d$, where $k\le d\le n-1$.…

信息论 · 计算机科学 2022-05-27 Y. Liu , J. Li , X. H. Tang