DocumentCode :
151652
Title :
Optimized codes for the binary coded side-information problem
Author :
Savard, Anne ; Weidmann, Claudio
Author_Institution :
ETIS, Univ. de Cergy-Pontoise, Cergy-Pontoise, France
fYear :
2014
fDate :
18-22 Aug. 2014
Firstpage :
127
Lastpage :
131
Abstract :
This paper analyzes a practical scheme for the binary coded side-information problem based on LDPC codes and trellis quantization. A recently proposed improved decoder is shown to be amenable to numerical density evolution and thus to LDPC code optimization. First results display significant gains compared to off-the-shelf codes, which could be further improved by refined modeling of the system.
Keywords :
binary codes; parity check codes; trellis codes; LDPC code optimization; binary coded side-information problem; numerical density evolution; trellis quantization; Decoding; Error probability; Indexes; Iterative decoding; Optimization; Standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Turbo Codes and Iterative Information Processing (ISTC), 2014 8th International Symposium on
Conference_Location :
Bremen
Type :
conf
DOI :
10.1109/ISTC.2014.6955099
Filename :
6955099
Link To Document :
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