Title :
A semicontinuity theorem and its application to network source coding
Author :
Chen, Jun ; Wagner, Aaron B.
Author_Institution :
McMaster Univ., Hamilton, ON
Abstract :
For a general class of Gaussian network source coding problems for which no single-letter characterization of the rate-distortion region is known, it is shown that the rate- distortion region is inner semicontinuous with respect to the source distribution. This semicontinuity theorem is used to obtain two new results, one for the Gaussian many-help-one problem and one for the Gaussian robust distributed source coding problem.
Keywords :
Gaussian processes; rate distortion theory; source coding; Gaussian many-help-one problem; Gaussian network; Gaussian robust distributed source coding problem; rate-distortion region; semicontinuity theorem; Decoding; Distortion measurement; Entropy; Multimedia communication; Random variables; Rate-distortion; Robustness; Sensor phenomena and characterization; Source coding;
Conference_Titel :
Information Theory, 2008. ISIT 2008. IEEE International Symposium on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-2256-2
Electronic_ISBN :
978-1-4244-2257-9
DOI :
10.1109/ISIT.2008.4595022