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In this paper, we propose a characterization for non-elementary trapping sets (NETSs) of low-density parity-check (LDPC) codes. The characterization is based on viewing a NETS as a hierarchy of embedded graphs starting from an ETS. The…

信息论 · 计算机科学 2018-01-09 Yoones Hashemi , Amir H. Banihashemi

Leafless elementary trapping sets (LETSs) are known to be the problematic structures in the error floor region of low-density parity-check (LDPC) codes over the additive white Gaussian (AWGN) channel under iterative decoding algorithms.…

信息论 · 计算机科学 2018-10-09 Ali Dehghan , Amir H. Banihashemi

We discuss error floor asympotics and present a method for improving the performance of low-density parity check (LDPC) codes in the high SNR (error floor) region. The method is based on Tanner graph covers that do not have trapping sets…

信息论 · 计算机科学 2008-05-13 Milos Ivkovic Shashi Kiran Chilappagari Bane Vasic

Cages, defined as regular graphs with minimum number of nodes for a given girth, are well-studied in graph theory. Trapping sets are graphical structures responsible for error floor of low-density parity-check (LDPC) codes, and are well…

信息论 · 计算机科学 2018-10-09 Ali Dehghan , Amir H. Banihashemi

In this paper, we propose a linear complexity encoding method for arbitrary LDPC codes. We start from a simple graph-based encoding method ``label-and-decide.'' We prove that the ``label-and-decide'' method is applicable to Tanner graphs…

信息论 · 计算机科学 2016-11-18 Jin Lu , José M. F. Moura

The performance of low-density parity-check (LDPC) codes at high signal-to-noise ratios (SNRs) is known to be limited by the presence of certain sub-graphs that exist in the Tanner graph representation of the code, for example trapping sets…

信息论 · 计算机科学 2019-11-11 Homayoon Hatami , David G. M. Mitchell , Daniel J. Costello , Thomas E. Fuja

The performance of iterative decoding techniques for linear block codes correcting erasures depends very much on the sizes of the stopping sets associated with the underlying Tanner graph, or, equivalently, the parity-check matrix…

信息论 · 计算机科学 2007-07-13 Jos H. Weber , Khaled A. S. Abdel-Ghaffar

The performance of low-density parity-check (LDPC) codes in the error floor region is closely related to some combinatorial structures of the code's Tanner graph, collectively referred to as {\it trapping sets (TSs)}. In this paper, we…

信息论 · 计算机科学 2018-06-12 Ali Dehghan , Amir H. Banihashemi

Elementary trapping sets (ETSs) are the main culprits for the performance of LDPC codes in the error floor region. Due to the large quantity, complex structures, and computational difficulties of ETSs, how to eliminate dominant ETSs in…

信息论 · 计算机科学 2025-11-14 Haoran Xiong , Zicheng Ye , Huazi Zhang , Jun Wang , Ke Liu , Dawei Yin , Guanghui Wang , Guiying Yan , Zhiming Ma

An elementary combinatorial Tanner graph construction for a family of near-regular low density parity check codes achieving high girth is presented. The construction allows flexibility in the choice of design parameters like rate, average…

信息论 · 计算机科学 2008-02-06 K. Murali Krishnan , Rajdeep Singh , L. Sunil Chandran , Priti Shankar

One of the phenomena that influences significantly the performance of low-density parity-check codes is known as trapping sets. An $(a,b)$ elementary trapping set, or simply an ETS where $a$ is the size and $b$ is the number of degree-one…

信息论 · 计算机科学 2018-03-23 Farzane Amirzade , Mohammad-Reza Sadeghi

This paper presents an efficient algorithm for finding the dominant trapping sets of a low-density parity-check (LDPC) code. The algorithm can be used to estimate the error floor of LDPC codes or to be part of the apparatus to design LDPC…

信息论 · 计算机科学 2012-04-16 Mehdi Karimi , Amir H. Banihashemi

Iterative decoders for finite length quantum low-density parity-check (QLDPC) codes are attractive because their hardware complexity scales only linearly with the number of physical qubits. However, they are impacted by short cycles,…

信息论 · 计算机科学 2021-10-20 Nithin Raveendran , Bane Vasić

We propose a systematic design of protograph-based quasi-cyclic (QC) low-density parity-check (LDPC) codes with low error floor. We first characterize the trapping sets of such codes and demonstrate that the QC structure of the code…

信息论 · 计算机科学 2019-06-18 Bashirreza Karimi , Amir. H Banihashemi

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…

信息论 · 计算机科学 2016-11-17 Stefan Laendner , Thorsten Hehn , Olgica Milenkovic , Johannes B. Huber

In this paper, we study the graphical structure of elementary trapping sets (ETS) of variable-regular low-density parity-check (LDPC) codes. ETSs are known to be the main cause of error floor in LDPC coding schemes. For the set of LDPC…

信息论 · 计算机科学 2013-08-07 Mehdi Karimi , Amir H. Banihashemi

It is well known that, given \(b\ge 0\), finding an $(a,b)$-trapping set with the minimum \(a\) in a binary linear code is NP-hard. In this paper, we demonstrate that this problem can be solved with linear complexity with respect to the…

信息论 · 计算机科学 2026-02-02 Qingqing Peng , Ke Liu , Guiying Yan , Guanghui Wang

LDPC codes are used in many applications, however, their error correcting capabilities are limited by the presence of stopping sets and trapping sets. Trapping sets and stopping sets occur when specific low-wiehgt error patterns cause a…

信息论 · 计算机科学 2017-05-18 Aiden Price , Joanne Hall

This paper is concerned with the construction of low-density parity-check (LDPC) codes with low error floors. Two main contributions are made. First, a new class of structured LDPC codes is introduced. The parity check matrices of these…

信息论 · 计算机科学 2011-08-24 Dung Viet Nguyen , Shashi Kiran Chilappagari , Michael W. Marcellin , Bane Vasic

Linear nested codes, where two or more sub-codes are nested in a global code, have been proposed as candidates for reliable multi-terminal communication. In this paper, we consider nested array-based spatially coupled low-density…

信息论 · 计算机科学 2021-02-23 Salman Habib , David G. M. Mitchell , Joerg Kliewer
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