Work

Worst-case source for distributed compression with quadratic distortion

Year: 2012

Type: conference-paper

Abstract: 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.

Source: IEEE Information Theory Workshop (ITW)

DOI: 10.1109/itw.2012.6404654

Authors: Ilan Shomorony, A. Salman Avestimehr, Himanshu Asnani, Tsachy Weissman

Institutions: Cornell University, Stanford University

Language: English

Topic: Advanced Data Compression Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2004306542

FWCI: 1.364

Cites: 16

Cited by: 7

Related to: 10