New iterative decoding algorithms of 2D product block codes

This paper presents four new iterative decoders for two dimensional product block codes (2D-PBC) based on Genetic Algorithms. Each of these iterative decoders runs in parallel on a number of processors connected by a network. They have almost the same complexity as the conventional iterative decoder...

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Veröffentlicht in:WCCAIS : 2014 World Congress on Computer Applications and Information Systems : Hammamet, Tunisia, 17-19 January, 2014 S. 1 - 4
Hauptverfasser: Ahmadi, Abdeslam, Ben-Azza, Hussain, El Bouanani, Faissal
Format: Tagungsbericht Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 01.01.2014
Schlagworte:
Block codes
Codes
Complexity theory
Decoders
Decoding
Error Correcting Codes
Genetic algorithms
Ierative Decoding
Information systems
Iterative algorithms
Iterative decoding
Iterative methods
Maximum likelihood decoding
Parallel Decoding
Processors
Product Block Codes
Program processors
Running
Time complexity
Two dimensional
ISBN:9781479933501, 1479933503
Online-Zugang:Volltext
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Zusammenfassung:This paper presents four new iterative decoders for two dimensional product block codes (2D-PBC) based on Genetic Algorithms. Each of these iterative decoders runs in parallel on a number of processors connected by a network. They have almost the same complexity as the conventional iterative decoder, but their performances are improved since at each iteration, they trap the better of extrinsic information computed by the elementary decoders running simultaneously on all processors.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
ObjectType-Feature-3
content type line 23
SourceType-Conference Papers & Proceedings-2
ISBN:9781479933501
1479933503
DOI:10.1109/WCCAIS.2014.6916585