Lossy distributed source coding using graphs

In this letter, lossy distributed source coding using graphs is considered. This corresponds to the source coding part of the graph-based framework for transmission of analog correlated sources over the multiple-access channel (MAC). Consequently, it is shown that a pair of analog correlated sources...

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Vydáno v:IEEE communications letters Ročník 13; číslo 4; s. 262 - 264
Hlavní autor: Choi, Suhan
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.04.2009
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Access methods and protocols, osi model
Applied sciences
Bipartite graph
Broadcasting
Channel coding
Channels
Coding
Coding, codes
correlated messages
Correlation
Decoding
Distortion
Distributed source coding
Exact sciences and technology
Graphs
Information, signal and communications theory
Maintenance
Modules
multiple-access channels
Performance loss
Probability distribution
random graphs
Rate-distortion
Signal and communications theory
Source coding
Telecommunications
Telecommunications and information theory
Teleprocessing networks. Isdn
Transmitters
Access control
Multiple access
Source coding
Distributed source signal
Rate distortion theory
Lossy medium
random graphs
multiple-access channels
Channel coding
Random graph
Distributed source coding
correlated messages
Bipartite graph
Multiple channel
ISSN:1089-7798, 1558-2558
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Shrnutí:In this letter, lossy distributed source coding using graphs is considered. This corresponds to the source coding part of the graph-based framework for transmission of analog correlated sources over the multiple-access channel (MAC). Consequently, it is shown that a pair of analog correlated sources can be reliably represented into a bipartite graph by allowing certain amount of distortion. An achievable rate-distortion region for this problem is also provided. Therefore, it can be concluded that, for transmission of any (both discrete and continuous) set of correlated sources over MACs, graphs can be used as discrete interface between source coding and channel coding modules.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2009.081825