Title
Rate-Distortion Bounds for Wyner–Ziv Coding With Gaussian Scale Mixture Correlation Noise
Abstract
The objective of this paper is the characterization of the Wyner-Ziv rate-distortion function for memoryless continuous sources, when the correlation between the sources is modeled via an additive noise channel. Modeling the distribution of the correlation noise via a Gaussian mixture, with discrete or continuous mixing variable, provides a unified signal model able to describe a wide class of distributions, useful in the context of practical applications. The Wyner-Ziv rate-distortion function associated with this signal model cannot, in general, be obtained in analytical form. This paper contributes a method for its analysis, by providing computable upper and lower bounds.
Year
DOI
Venue
2014
10.1109/TIT.2014.2363077
Information Theory, IEEE Transactions  
Keywords
DocType
Volume
AWGN channels,Gaussian processes,correlation methods,memoryless systems,mixture models,rate distortion theory,source coding,Gaussian scale mixture correlation noise,Wyner-Ziv rate-distortion function,additive noise channel,memoryless continuous sources,unified signal model,Gaussian scale mixture noise,Wyner-Ziv,rate-distortion bounds
Journal
60
Issue
ISSN
Citations 
12
0018-9448
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Francesca Bassi1248.34
Aurélia Fraysse2226.16
Elsa Dupraz34511.89
Michel Kieffer43513.00