DocumentCode :
3663250
Title :
Statistical physics of random binning
Author :
Neri Merhav
Author_Institution :
Department of Electrical Engineering, Technion - Israel Institute of Technology, Haifa 32000, Israel
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
1560
Lastpage :
1564
Abstract :
We consider the model of random binning and finite-temperature (FT) decoding for Slepian-Wolf (SW) codes, from a statistical-mechanical perspective. While ordinary random channel coding is intimately related to the random energy model (REM) in statistical mechanics, it turns out that random binning (for SW coding) is analogous to another, related statistical mechanical model, which we call the random dilution model (RDM). We use the latter analogy to characterize phase transitions pertaining to finite-temperature SW decoding, which are somewhat similar, but not identical, to those of FT channel decoding. We then provide the exact random coding exponent of the bit error rate (BER) as a function of the rate and the decoding temperature, and discuss its properties. Finally, a few modifications and extensions are outlined.
Keywords :
"Decoding","Channel coding","Joints","Entropy","Error probability"
Publisher :
ieee
Conference_Titel :
Information Theory (ISIT), 2015 IEEE International Symposium on
Electronic_ISBN :
2157-8117
Type :
conf
DOI :
10.1109/ISIT.2015.7282718
Filename :
7282718
Link To Document :
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