Results 131 to 140 of about 250 (178)
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Low Complexity Decoding Algorithm of QC-LDPC Code

2010 IEEE Asia-Pacific Services Computing Conference, 2010
Through the research on the decoding algorithm of low-density parity-check (LDPC) code, a low complexity decoding algorithm suitable for quasi-cyclic LDPC (QC-LDPC) code is proposed in this paper. The algorithm adopts layered decoding (LD), and the sub-minimum is replaced by the sum of an optimal correction factor and the minimum during the process of ...
Fanglong Yi, Pengjun Wang
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Combinatorial optimization for improving QC LDPC codes performance

2013 IEEE International Symposium on Information Theory, 2013
Techniques for searching for good quasi-cyclic (QC) LDPC block codes of short and moderate lengths which are suitable for practical purposes are studied. To facilitate implementations only codes whose parity-check matrices having bidiagonal structure of their submatrices and consequently having low encoding complexity are considered.
Irina E. Bocharova   +2 more
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Constructions of QC LDPC codes based on integer sequences

Science China Information Sciences, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lijun Zhang, Bing Li, Lee Lung Cheng
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Efficient BP-based Decoding Algorithms for QC-LDPC Codes

2021 10th Mediterranean Conference on Embedded Computing (MECO), 2021
In this paper we propose to use a self-correction technique with two computationally efficient LDPC decoding algorithms: QRCBP and adjusted min-sum. It is shown that using such a technique allows to improve performance of this algorithms both in error floor and waterfall regions.
Konstantin Zavertkin   +3 more
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Low power decoder design for QC-LDPC codes

Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010
This paper presents a low-power decoder design approach for generic quasi-cyclic low-density parity-check (QC-LDPC) codes based on the layered min-sum decoding algorithm. To reduce the energy consumption, a novel message length-shortening scheme is explored.
Kai He   +3 more
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Efficient Search of Girth-Optimal QC-LDPC Codes

IEEE Transactions on Information Theory, 2016
In this paper, we study the cycle structure of quasi-cyclic (QC) low-density parity-check (LDPC) codes with the goal of obtaining the shortest code with a given degree distribution and girth. We focus on QC-LDPC codes, whose Tanner graphs are cyclic liftings of fully connected base graphs of size $3 \times n, n \geq 4$ , and obtain minimal lifting
Alireza Tasdighi   +2 more
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Efficient encoding of QC-LDPC codes related to cyclic MDS codes

IEEE Journal on Selected Areas in Communications, 2008
In this paper, we present an efficient systematic encoding algorithm for quasi-cyclic (QC) low-density parity check (LDPC) codes that are related to cyclic maximum-distance separable (MDS) codes. The algorithm offers linear time complexity, and it can be easily implemented by using polynomial multiplication and division circuits.
Norifumi Kamiya, Eisaku Sasaki
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An Efficient Layered Decoding Architecture for Nonbinary QC-LDPC Codes

IEEE Transactions on Circuits and Systems I: Regular Papers, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yeong-Luh Ueng   +5 more
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Construction of high-rate QC-LDPC codes

The 2011 International Conference on Advanced Technologies for Communications (ATC 2011), 2011
In this paper, we construct high-rate quasi-cyclic low-density parity-check (QC-LDPC) codes with girth-10 based on shortened array codes. First, we derive analytic results on the maximum number of columns for shortened array codes of different girths. A code construction method inspired by the analysis is proposed for column-weight-three codes and is ...
null Xu Chen, Francis C.M. Lau
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Layered TPMP Decoding for QC-LDPC Codes

Applied Mechanics and Materials, 2012
This paper presents a layered two-phase message passing (L-TPMP) decoding algorithm for general quasi-cyclic low-density parity-check (QC-LDPC) codes, which not only achieves high hardware utilization efficiency (HUE), but also brings in great memory block reduction.
Ling Zhao, Yi Hou, Rong Ke Liu
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