Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Lecture notes in networks and systems

On the Construction and Performance of LDPC Codes

B. N. Sindhu Tejaswini, Rajendra Prasad Lal, Vadlamudi Ch. Venkaiah

Published Jan 1, 2017• 0 citations
Publisher
DOI
10.1007/978-981-10-3818-1_39

Related papers

Construction of LDPC codes

Alexios Balatsoukas‐Stimming

•Jan 1, 2009•0 citations

Finite-Length Algebraic Spatially-Coupled Quasi-Cyclic LDPC Codes

Keke Liu, Mostafa El‐Khamy, Jungwon Lee

The replicate-and-mask (R&M) construction of finite-length spatially-coupled (SC) LDPC codes is proposed in this paper. The proposed R&M construction generalizes the conventional matrix unwrapping construction and contains it as a special case. The R&M construction of a class of algebraic spatially coupled (SC) quasi-cyclic (QC) LDPC codes over arbitrary finite fields is demonstrated. The girth, rank, and time-varying periodicity of the proposed R&M SC QC LDPC codes are analyzed. The error rate performance of finite-length nonbinary algebraic SC QC LDPC codes is investigated with window decoding. Compared to the conventional unwrapping construction, it is found through numerical simulations that the R&M construction resulted in SC QC LDPC codes with better block error rate performance and lower error floors. With a flooding schedule decoder, it is shown that the proposed R&M algebraic SC QC LDPC codes have better error performance than the corresponding LDPC block codes and random SC codes. The R&M construction of irregular SC QC LDPC codes is demonstrated. It is shown that low-complexity regular puncturing schemes can be deployed on these codes to construct families of rate-compatible irregular SC QC LDPC codes with good performance.

IEEE Journal on Selected Areas in Communications•Dec 4, 2015•31 citations

The performance analysis of QC-LDPC codes constructed by Dayan sequence for coded cooperative relay

Yan Zhang, Fengfan Yang

This paper presents Dayan sequence to construct QC-LDPC codes through the combination of mathematical theory. The paper introduces the procedure of the coding principle and coding. Dayan sequence constructed QC-LDPC codes is compared with rate compatible QC-LDPC, Simulation results show that the bit error rate (BER)performance of Dayan sequence constructed QC-LDPC is improved by 0.5dB. Then QC-LDPC codes constructed by the Dayan sequence are used in coded cooperative communication. Compared it with PEG algorithm, array code and Mackey code,the results show that the performance of Dayan sequence is superior. That is to say that Dayan sequence code constructed QC-LDPC is effective in coded cooperative communication.

IEEE Computers, Communications and IT Applications Conference (ComComAp)•Oct 1, 2014•1 citation

Computer-Based Design of LDPC Codes

W.E. Ryan, Shu Lin

Cambridge University Press eBooks•Sep 17, 2009•0 citations

An Improvement of the PEG Algorithm for LDPC Codes in the Waterfall Region

Gerd Richter

There exist many different algorithms to construct good low-density parity-check (LDPC) codes. To maximize the girth of the bipartite graph, which represents the LDPC code, the progressive edge-growth (PEG) algorithm was introduced. This construction methods leads for irregular LDPC codes to a lower error floor, but also to a performance loss in the waterfall region compared with randomly constructed LDPC codes. In this paper, we describe a modification of the PEG algorithm that improves the performance in the waterfall region. Furthermore, this modified PEG algorithm yields codes with lower error floors and a slightly better performance in the waterfall region than randomly constructed LDPC codes

IEEE EUROCON - International Conference on Computer as a Tool (EUROCON)•Jan 1, 2005•9 citations

On the Construction and Decoding of Cyclic LDPC Codes

Chao Chen

•Jan 1, 2014•0 citations
The replicate-and-mask (R&M) construction of finite-length spatially-coupled (SC) LDPC codes is proposed in this paper. The proposed R&M construction generalizes the conventional matrix unwrapping construction and contains it as a special case. The R&M construction of a class of algebraic spatially coupled (SC) quasi-cyclic (QC) LDPC codes over arbitrary finite fields is demonstrated. The girth, rank, and time-varying periodicity of the proposed R&M SC QC LDPC codes are analyzed. The error rate performance of finite-length nonbinary algebraic SC QC LDPC codes is investigated with window decoding. Compared to the conventional unwrapping construction, it is found through numerical simulations that the R&M construction resulted in SC QC LDPC codes with better block error rate performance and lower error floors. With a flooding schedule decoder, it is shown that the proposed R&M algebraic SC QC LDPC codes have better error performance than the corresponding LDPC block codes and random SC codes. The R&M construction of irregular SC QC LDPC codes is demonstrated. It is shown that low-complexity regular puncturing schemes can be deployed on these codes to construct families of rate-compatible irregular SC QC LDPC codes with good performance.
This paper presents Dayan sequence to construct QC-LDPC codes through the combination of mathematical theory. The paper introduces the procedure of the coding principle and coding. Dayan sequence constructed QC-LDPC codes is compared with rate compatible QC-LDPC, Simulation results show that the bit error rate (BER)performance of Dayan sequence constructed QC-LDPC is improved by 0.5dB. Then QC-LDPC codes constructed by the Dayan sequence are used in coded cooperative communication. Compared it with PEG algorithm, array code and Mackey code,the results show that the performance of Dayan sequence is superior. That is to say that Dayan sequence code constructed QC-LDPC is effective in coded cooperative communication.
There exist many different algorithms to construct good low-density parity-check (LDPC) codes. To maximize the girth of the bipartite graph, which represents the LDPC code, the progressive edge-growth (PEG) algorithm was introduced. This construction methods leads for irregular LDPC codes to a lower error floor, but also to a performance loss in the waterfall region compared with randomly constructed LDPC codes. In this paper, we describe a modification of the PEG algorithm that improves the performance in the waterfall region. Furthermore, this modified PEG algorithm yields codes with lower error floors and a slightly better performance in the waterfall region than randomly constructed LDPC codes