Loading [a11y]/accessibility-menu.js
To code, or not to code: lossy source-channel communication revisited | IEEE Journals & Magazine | IEEE Xplore

To code, or not to code: lossy source-channel communication revisited


Abstract:

What makes a source-channel communication system optimal? It is shown that in order to achieve an optimal cost-distortion tradeoff, the source and the channel have to be ...Show More

Abstract:

What makes a source-channel communication system optimal? It is shown that in order to achieve an optimal cost-distortion tradeoff, the source and the channel have to be matched in a probabilistic sense. The match (or lack of it) involves the source distribution, the distortion measure, the channel conditional distribution, and the channel input cost function. Closed-form necessary and sufficient expressions relating the above entities are given. This generalizes both the separation-based approach as well as the two well-known examples of optimal uncoded communication. The condition of probabilistic matching is extended to certain nonergodic and multiuser scenarios. This leads to a result on optimal single-source broadcast communication.
Published in: IEEE Transactions on Information Theory ( Volume: 49, Issue: 5, May 2003)
Page(s): 1147 - 1158
Date of Publication: 07 May 2003

ISSN Information:


Contact IEEE to Subscribe

References

References is not available for this document.