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  4. The Gaussian lossy Gray-Wyner network
 
conference paper

The Gaussian lossy Gray-Wyner network

Sula, Erixhen  
•
Gastpar, Michael C.  
2020
2020 54th Annual Conference on Information Sciences and Systems (CISS)
54th Annual Conference on Information Sciences and Systems (CISS)

We consider the problem of source coding subject to a fidelity criterion for the Gray-Wyner network that connects a single source with two receivers via a common channel and two private channels. The pareto-optimal trade-offs between the sum-rate of the private channels and the rate of the common channel is completely characterized for jointly Gaussian sources subject to the mean-squared error criterion, leveraging convex duality and an argument involving the factorization of convex envelopes. Specifically, it is attained by selecting the auxiliary random variable to be jointly Gaussian with the sources.

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Type
conference paper
DOI
10.1109/CISS48834.2020.1570617017
Author(s)
Sula, Erixhen  
Gastpar, Michael C.  
Date Issued

2020

Published in
2020 54th Annual Conference on Information Sciences and Systems (CISS)
ISBN of the book

978-1-728188-31-7

Start page

1

End page

6

URL

Arxiv version (updated)

https://arxiv.org/abs/2002.01348
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LINX  
Event nameEvent placeEvent date
54th Annual Conference on Information Sciences and Systems (CISS)

Princeton, NJ, USA

May 18–20, 2020

Available on Infoscience
May 27, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/178385
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