Worst-case source for distributed compression with quadratic distortion

Worst-case source for distributed compression with quadratic distortion

We consider the k-encoder source coding problem with a quadratic distortion measure. We show that among all source distributions with a given covariance matrix K, the jointly Gaussian source requires the highest rates in order to meet a given set of distortion constraints.

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Bibliographic Details
Published in:2012 IEEE Information Theory Workshop pp. 187 - 191
Main Authors: Shomorony, I., Avestimehr, A. S., Asnani, H., Weissman, T.
Format: Conference Proceeding
Language:English
Published: IEEE 01-09-2012
Subjects:
Covariance matrix
Decoding
Rate-distortion
Source coding
Vectors
Online Access:Get full text
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Description
Summary:We consider the k-encoder source coding problem with a quadratic distortion measure. We show that among all source distributions with a given covariance matrix K, the jointly Gaussian source requires the highest rates in order to meet a given set of distortion constraints.
ISBN:9781467302241
1467302244
DOI:10.1109/ITW.2012.6404654