Cart (Loading....) | Create Account
Close category search window
 

Turbo-Like Codes for Transmission of Correlated Sources over Noisy Channels

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Garcia-Frias, J. ; Univ. of Delaware, Newark ; Ying Zhao ; Wei Zhong

In this article we focus on distributed coding of correlated sources that are transmitted through either separated noisy channels (one per source) or over a multiple access channel (MAC). For simplicity, we consider only two sources, but the proposed approach can be easily extended to the case of more sources. The two sources are encoded independently of each other (i.e., for a given source neither the realization from the other source nor the correlation model are available at the encoder site) and transmitted through the channel. Then, the correlation between the sources is exploited at a common receiver, aiming at the reconstruction of the two sources. Although this problem has many practical applications e.g., in the case of sensor networks (where correlated data has to be communicated between the different nodes) and video/image applications, we will focus in the key ideas without discussing specific applications. For simplicity, we will assume simple correlation models and binary sources.

Published in:

Signal Processing Magazine, IEEE  (Volume:24 ,  Issue: 5 )

Date of Publication:

Sept. 2007

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.