Title :
LDPC codes for compression of multi-terminal sources with hidden Markov correlation
Author :
Garcia-Frias, Javier ; Zhong, Wei
Author_Institution :
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
fDate :
3/1/2003 12:00:00 AM
Abstract :
We propose the use of low-density parity-check (LDPC) codes for compression of memory correlated binary sources. The correlation model between the sources is defined by a hidden Markov model. The resulting performance is close to the theoretical Slepian-Wolf (1973) limit. No information about the sources statistics is required in the encoding process.
Keywords :
Markov processes; correlation methods; parity check codes; source coding; LDPC codes; Slepian-Wolf limit; correlation model; hidden Markov correlation; memory correlated binary sources; multi-terminal source compression; Channel coding; Collaborative work; Decoding; Entropy; Government; Hidden Markov models; Parity check codes; Source coding; Statistics; Turbo codes;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2003.810001
