Work

Binary rate distortion with side information: The asymmetric correlation channel case

Year: 2015

Type: conference-paper

Abstract: Advancing over up-to-date information theoretic results that assume symmetric correlation models, in this work we consider the problem of lossy binary source coding with side information, where the correlation is expressed by a generic binary asymmetric channel. Specifically, we present an in-depth analysis of rate distortion with side information available to both the encoder and decoder (conventional predictive), as well as the Wyner-Ziv problem for this particular setup. Prompted by our recent results for the Z-channel correlation case, we evaluate the rate loss between the Wyner-Ziv and the conventional predictive coding, as a function of the parameters of the binary asymmetric correlation channel.

Source: IEEE Global Conference on Signal and Information Processing

DOI: 10.1109/globalsip.2015.7418192

Authors: Andrei Sechelea, Samuel Cheng, Adrian Munteanu, Nikos Deligiannis

Institutions: Vrije Universiteit Brussel, University of Oklahoma - Tulsa

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: W1873095997

FWCI: 0.41

Cites: 13

Cited by: 3

Related to: 10