Title :
On the vector Gaussian CEO problem
Author :
Chen, Jun ; Wang, Jia
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
fDate :
July 31 2011-Aug. 5 2011
Abstract :
A lower bound on each supporting line of the rate region of the vector Gaussian CEO problem is derived. The key technical ingredient is a new extremal inequality. It is shown that the lower bound coincides with the Berger-Tung upper bound in the high-resolution regime. The application of the new bounding technique to the vector Gaussian multiterminal source coding problem is also discussed.
Keywords :
Gaussian processes; source coding; vectors; Berger-Tung upper bound; extremal inequality; vector Gaussian CEO problem; vector Gaussian multiterminal source coding; Covariance matrix; Entropy; Linear matrix inequalities; Nickel; Source coding; Upper bound;
Conference_Titel :
Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4577-0596-0
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2011.6033916
