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  4. Lossy source coding via spatially coupled LDGM ensembles
 
conference paper

Lossy source coding via spatially coupled LDGM ensembles

Aref, Vahid  
•
Macris, Nicolas  
•
Urbanke, Rüdiger  
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2012
2012 Ieee International Symposium On Information Theory Proceedings (Isit)
Internationel Symposium on Information Theory ISIT2012

We study a new encoding scheme for lossy source compression based on spatially coupled low-density generatormatrix codes. We develop a belief-propagation guided-decimation algorithm, and show that this algorithm allows to approach the optimal distortion of spatially coupled ensembles. Moreover, using the survey propagation formalism, we also observe that the optimal distortions of the spatially coupled and individual code ensembles are the same. Since regular low-density generatormatrix codes are known to achieve the Shannon rate-distortion bound under optimal encoding as the degrees grow, our results suggest that spatial coupling can be used to reach the rate-distortion bound, under a low complexity belief-propagation guided-decimation algorithm.

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Type
conference paper
DOI
10.1109/ISIT.2012.6284212
Web of Science ID

WOS:000312544300077

Author(s)
Aref, Vahid  
Macris, Nicolas  
Urbanke, Rüdiger  
Vuffray, Marc  
Date Issued

2012

Publisher

Ieee

Publisher place

New York

Published in
2012 Ieee International Symposium On Information Theory Proceedings (Isit)
ISBN of the book

978-1-4673-2579-0

Total of pages

5

Series title/Series vol.

IEEE International Symposium on Information Theory

Start page

373

End page

377

Subjects

Lossy source coding

•

spatial coupling

•

LDGM

•

belief propagation guided decimation

•

rate distortion bound

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LTHC  
Event nameEvent placeEvent date
Internationel Symposium on Information Theory ISIT2012

Boston, Massachusetts, USA

1-6 July, 2012

Available on Infoscience
September 25, 2012
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/85673
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