VLSI Design for Low-Density Parity-Check Code Decoding
VLSI Design for Low-Density Parity-Check Code Decoding
复制标题
用于低密度奇偶校验码解码的 VLSI 设计
DOI:
10.1109/mcas.2010.939785
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发表时间:
2011-02
影响因子:
6.9
通讯作者:
Sha, Jin
中科院分区:
文献类型:
--
作者:
Wang, Zhongfeng;Cui, Zhiqiang;Sha, Jin
Low-Density Parity-check (LDPC) code, being one of the most promising near-Shannon limit error correction codes (ECCs) in practice, has attracted tremendous attention in both academia and industry since its rediscovery in middle 1990's. Owning excellent coding gain, LDPC code also has very low error floor, and inherent parallizable decoding schemes. Compared to other ECCs such as Turbo codes, BCH codes and RS codes, LDPC code has many more varieties in code construction, which result in various optimum decoding architectures associated with different structures of the parity-check matrix. In this work, we first provide an overview of typical LDPC code structures and commonly-used LDPC decoding algorithms. We then discuss efficient VLSI architectures for random-like codes and structured LDPC codes. We further present layered decoding schemes and corresponding VLSI architectures. Finally we briefly address non-binary LDPC decoding and multi-rate LDPC decoder design.
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DOI:
10.2991/icmmita-16.2016.273
发表时间:
2016
期刊:
--
影响因子:
--
作者:
Danfeng Zhao;Jiahui Meng;Hai Tian
通讯作者:
Danfeng Zhao;Jiahui Meng;Hai Tian
DOI:
10.1109/icccas.2006.285182
发表时间:
2006-06
期刊:
2006 International Conference on Communications, Circuits and Systems
影响因子:
--
作者:
Jin Sha;M. Gao;Zhongjin Zhang;Li Li-Li;Zhongfeng Wang
通讯作者:
Jin Sha;M. Gao;Zhongjin Zhang;Li Li-Li;Zhongfeng Wang
影响因子:
8.3
作者:
Zongwang Li;Lei Chen;L. Zeng;Shu Lin;W. Fong
通讯作者:
Zongwang Li;Lei Chen;L. Zeng;Shu Lin;W. Fong
DOI:
10.1109/glocom.2007.619
发表时间:
2007-12
期刊:
IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference
影响因子:
--
作者:
M. Gomes;G. F. P. Fernandes;V. Silva;V. Ferreira;A. Sengo;M. Falcão
通讯作者:
M. Gomes;G. F. P. Fernandes;V. Silva;V. Ferreira;A. Sengo;M. Falcão
DOI:
10.1109/isit.1997.613028
发表时间:
1997-06
期刊:
Proceedings of IEEE International Symposium on Information Theory
影响因子:
--
作者:
D. Mackay
通讯作者:
D. Mackay