DocumentCode
3226576
Title
Distributed Source Coding Using Raptor Codes for Hidden Markov Sources
Author
Fresia, M. ; Vandendorpe, L. ; Poor, H.V.
Author_Institution
Princeton Univ., Princeton
fYear
2008
fDate
25-27 March 2008
Firstpage
517
Lastpage
517
Abstract
Interest in distributed source coding (DSC) has increased in recent years due to the development of wireless networks. In this paper we propose a solution based on a new rateless class of codes, the Raptor codes. In real applications (where the data source length and the correlation between the sources may vary), rateless codes can be naturally adapted by generating just a single codeword with suitable length. Raptor codes were already considered by Caire et al. (2005) for the lossless compression of a single source.
Keywords
codes; hidden Markov models; source coding; Raptor codes; codeword; data source length; distributed source coding; hidden Markov sources; lossless compression; source correlation; wireless networks; Bit error rate; Data compression; Entropy; Hidden Markov models; Iterative algorithms; Iterative decoding; Message passing; Redundancy; Source coding; Wireless networks; Distributed Source coding; Hidden Markov model; Raptor codes;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 2008. DCC 2008
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
978-0-7695-3121-2
Type
conf
DOI
10.1109/DCC.2008.89
Filename
4483344
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