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Related papers: Improved Upper Bounds on Stopping Redundancy

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For a linear block code C, its stopping redundancy is defined as the smallest number of check nodes in a Tanner graph for C, such that there exist no stopping sets of size smaller than the minimum distance of C. Schwartz and Vardy…

Information Theory · Computer Science 2016-11-17 Junsheng Han , Paul H. Siegel , Ron M. Roth

It is now well known that the performance of a linear code $C$ under iterative decoding on a binary erasure channel (and other channels) is determined by the size of the smallest stopping set in the Tanner graph for $C$. Several recent…

Information Theory · Computer Science 2007-07-16 Moshe Schwartz , Alexander Vardy

The $l$-th stopping redundancy $\rho_l(\mathcal C)$ of the binary $[n, k, d]$ code $\mathcal C$, $1 \le l \le d$, is defined as the minimum number of rows in the parity-check matrix of $\mathcal C$, such that the smallest stopping set is of…

Information Theory · Computer Science 2017-03-07 Yauhen Yakimenka , Vitaly Skachek

We generalize the notion of the stopping redundancy in order to study the smallest size of a trapping set in Tanner graphs of linear block codes. In this context, we introduce the notion of the trapping redundancy of a code, which…

Information Theory · Computer Science 2016-11-17 Stefan Laendner , Thorsten Hehn , Olgica Milenkovic , Johannes B. Huber

Stopping sets play a crucial role in failure events of iterative decoders over a binary erasure channel (BEC). The $\ell$-th stopping redundancy is the minimum number of rows in the parity-check matrix of a code, which contains no stopping…

Information Theory · Computer Science 2018-10-02 Yauhen Yakimenka , Vitaly Skachek , Irina E. Bocharova , Boris D. Kudryashov

We investigate the stopping redundancy hierarchy of linear block codes and its connection to permutation decoding techniques. An element in the ordered list of stopping redundancy values represents the smallest number of possibly linearly…

Information Theory · Computer Science 2007-07-13 Thorsten Hehn , Olgica Milenkovic , Stefan Laendner , Johannes B. Huber

The trapping redundancy of a linear code is the number of rows of a smallest parity-check matrix such that no submatrix forms an $(a,b)$-trapping set. This concept was first introduced in the context of low-density parity-check (LDPC) codes…

Information Theory · Computer Science 2016-11-15 Yu Tsunoda , Yuichiro Fujiwara

An $(m,n,a,b)$-tensor code consists of $m\times n$ matrices whose columns satisfy `$a$' parity checks and rows satisfy `$b$' parity checks (i.e., a tensor code is the tensor product of a column code and row code). Tensor codes are useful in…

Information Theory · Computer Science 2022-12-05 Joshua Brakensiek , Sivakanth Gopi , Visu Makam

We investigate the minimum distance of structured binary Low-Density Parity-Check (LDPC) codes whose parity-check matrices are of the form $[\mathbf{C} \vert \mathbf{M}]$ where $\mathbf{C}$ is circulant and of column weight $2$, and…

Information Theory · Computer Science 2025-02-03 François Arnault , Philippe Gaborit , Wouter Rozendaal , Nicolas Saussay , Gilles Zémor

An error-erasure channel is a simple noise model that introduces both errors and erasures. While the two types of errors can be corrected simultaneously with error-correcting codes, it is also known that any linear code allows for first…

Information Theory · Computer Science 2019-03-19 Yu Tsunoda , Yuichiro Fujiwara , Hana Ando , Peter Vandendriessche

Maximum-distance-separable (MDS) codes are a class of erasure codes that are widely adopted to enhance the reliability of distributed storage systems (DSS). In (n, k) MDS coded DSS, the original data are stored into n distributed nodes in…

Information Theory · Computer Science 2017-06-16 Sheng Guan , Haibin Kan , Xin Wang

We introduce the notion of the stopping redundancy hierarchy of a linear block code as a measure of the trade-off between performance and complexity of iterative decoding for the binary erasure channel. We derive lower and upper bounds for…

Information Theory · Computer Science 2016-11-15 Thorsten Hehn , Olgica Milenkovic , Stefan Laendner , Johannes B. Huber

This paper presents new lower and upper bounds for the optimal compression of binary prefix codes in terms of the most probable input symbol, where compression efficiency is determined by the nonlinear codeword length objective of…

Information Theory · Computer Science 2008-09-09 Michael Baer

We consider the problem of constructing linear Maximum Distance Separable (MDS) error-correcting codes with generator matrices that are sparsest and balanced. In this context, sparsest means that every row has the least possible number of…

Information Theory · Computer Science 2016-01-28 Wael Halbawi , Zihan Liu , Babak Hassibi

In this work, we study the minimum/stopping distance of array low-density parity-check (LDPC) codes. An array LDPC code is a quasi-cyclic LDPC code specified by two integers q and m, where q is an odd prime and m <= q. In the literature,…

Information Theory · Computer Science 2016-11-17 Eirik Rosnes , Marcel A. Ambroze , Martin Tomlinson

The concepts of pseudocodeword and pseudoweight play a fundamental role in the finite-length analysis of LDPC codes. The pseudoredundancy of a binary linear code is defined as the minimum number of rows in a parity-check matrix such that…

Information Theory · Computer Science 2014-10-08 Zihui Liu , Jens Zumbrägel , Marcus Greferath , Xin-Wen Wu

The problem of detecting and removing redundant constraints is fundamental in optimization. We focus on the case of linear programs (LPs) in dictionary form, given by $n$ equality constraints in $n+d$ variables, where the variables are…

Computational Geometry · Computer Science 2014-12-04 Komei Fukuda , Bernd Gärtner , May Szedlák

For an $(n,k,\ell)$ MDS array code over $\mathbb{F}_q$, how small can the repair bandwidth and repair I/O be under linear exact repair? We study this question in the regime where the field size $q$, the redundancy $r=n-k$, and the…

Information Theory · Computer Science 2026-04-21 Hai Liu , Huawei Wu

This paper presents new lower and upper bounds for the compression rate of binary prefix codes optimized over memoryless sources according to various nonlinear codeword length objectives. Like the most well-known redundancy bounds for…

Information Theory · Computer Science 2010-10-08 Michael B. Baer

Consider a linear [n,k,d]_q code C. We say that that i-th coordinate of C has locality r, if the value at this coordinate can be recovered from accessing some other r coordinates of C. Data storage applications require codes with small…

Information Theory · Computer Science 2011-06-21 Parikshit Gopalan , Cheng Huang , Huseyin Simitci , Sergey Yekhanin
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