Paper Info
Title
Vector Gaussian Successive Refinement With Degraded Side Information
Abstract
In this paper, we consider Successive refinement for the Wyner-Ziv source coding problem, in which sources are vector Gaussian distributed and side information follows a degraded order assumption. We fully characterize its rate-distortion region with covariance mean square error distortions. We use jointly Gaussian auxiliary random variables to evaluate the existing single-letter description of the rate region by Tian and Diggavi, which gives the achievability. The converse relies on the information-estimation relationship, with which the tight outer bound is obtained.
Year
DOI
Venue
2019
10.1109/ISIT.2019.8849425
2019 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT)
Field
DocType
Citations 
Converse,Discrete mathematics,Random variable,Successive refinement,Source code,Computer science,Algorithm,Side information,Mean squared error,Gaussian,Covariance
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Yinfei Xu112.74
Xuan Guang202.70
Jian Lu3332.76