Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Distributed Source Coding of Correlated Gaussian Remote Sources

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Oohama, Y. ; Dept. of Commun. Eng. & Inf., Univ. of Electro-Commun., Chofu, Japan

We consider the distributed source coding system for L correlated memoryless Gaussian remote sources specified with L correlated Gaussian random variables Xi, i=1,2,...,L. We deal with the case where each of L distributed encoders cannot directly observe the source Xi but its noisy version Yi=Xi+Ni. Here, Ni, i=1,2,..., L are independent additive L Gaussian noises also independent of Xi , i=1,2,..., L. On this coding system, the determination problem of the rate distortion region remains open in general. In this paper, we derive explicit outer and inner bounds of the rate distortion region. We further find an explicit sufficient condition for those two bounds to match. We also study the sum rate part of the rate distortion region when the correlation has some symmetrical property. We derive an explicit upper bound of the sum rate part from the inner bounds of the rate distortion region. On a lower bound, we derive a new explicit bound by making full use of the symmetrical property of the correlation. We further derive an explicit necessary and sufficient condition for the lower bound to coincide with the upper bound.

Published in:

Information Theory, IEEE Transactions on  (Volume:58 ,  Issue: 8 )