DocumentCode
937551
Title
A decision feedback based scheme for Slepian-Wolf coding of sources with hidden Markov correlation
Author
Bhattad, Kapil ; Narayanan, Krishna R.
Author_Institution
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume
10
Issue
5
fYear
2006
fDate
5/1/2006 12:00:00 AM
Firstpage
378
Lastpage
380
Abstract
We consider the problem of compression of two memoryless binary sources, the correlation between which is defined by a hidden Markov model (HMM). We propose a decision feedback (DF) based scheme which when used with low density parity check codes results in compression close to the Slepian-Wolf limit.
Keywords
binary codes; correlation theory; decision feedback equalisers; hidden Markov models; memoryless systems; parity check codes; source coding; HMM; LDPC; Slepian-Wolf limit; binary source coding; decision feedback based scheme; hidden Markov model; low density parity check code; memoryless correlated source; Block codes; Channel coding; Feedback; Hidden Markov models; Iterative decoding; Linear code; Memoryless systems; Message passing; Parity check codes; Source coding;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2006.1633329
Filename
1633329
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