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IEEE Transactions on Information Theory
Article . 2005 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 2005
Data sources: zbMATH Open
DBLP
Article . 2005
Data sources: DBLP
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Regular and irregular progressive edge-growth tanner graphs

Regular and irregular progressive edge-growth Tanner graphs
Authors: Xiao-Yu Hu; Evangelos Eleftheriou; Dieter-Michael Arnold;

Regular and irregular progressive edge-growth tanner graphs

Abstract

Summary: We propose a general method for constructing Tanner graphs having a large girth by establishing edges or connections between symbol and check nodes in an edge-by-edge manner, called progressive edge-growth (PEG) algorithm. Lower bounds on the girth of PEG Tanner graphs and on the minimum distance of the resulting low-density parity-check (LDPC) codes are derived in terms of parameters of the graphs. Simple variations of the PEG algorithm can also be applied to generate linear-time encodeable LDPC codes. Regular and irregular LDPC codes using PEG Tanner graphs and allowing symbol nodes to take values over \(\mathrm{GF}(q)\) \((q>2)\) are investigated. Simulation results show that the PEG algorithm is a powerful algorithm to generate good short-block-length LDPC codes.

Related Organizations
Keywords

girth, LDPC codes, Graph algorithms (graph-theoretic aspects), Decoding, Other types of codes, progressive edge growth (PEG), PEG Tanner graphs, low-density parity-check (LDPC) codes

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1K
Top 0.1%
Top 0.1%
Top 0.1%
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