Title :
Symmetric Vector Gaussian Multiple Description with Two Levels of Receivers
Author :
Wang, Hua ; Viswanath, Pramod
Author_Institution :
Dept. of Electr. & Comput. Eng. & Coordinated Sci. Lab., Illinois Univ., Urbana, IL
Abstract :
L symmetric multiple descriptions of a vector Gaussian source with two levels of receivers is investigated, where the first level receiver can receive any k descriptions (k<L) and the second level receiver can receive all descriptions. Both receivers need to reconstruct the vector Gaussian source subject to covariance distortion measure constraints, in a positive semidefinite ordering. The symmetric rate is characterized. Jointly Gaussian descriptions are shown to be optimal in achieving the symmetric rate. It is also shown that one layer of jointly Gaussian description is sufficient to achieve the optimal symmetric rate for two levels of receivers.
Keywords :
Gaussian processes; receivers; source coding; vectors; L symmetric multiple description coding; covariance distortion; receivers; symmetric vector Gaussian source; Communication channels; Covariance matrix; Decoding; Distortion measurement; Entropy; Linear matrix inequalities; Quality of service; Symmetric matrices; Multiple description; symmetric rate; vector Gaussian source;
Conference_Titel :
Information Sciences and Systems, 2006 40th Annual Conference on
Conference_Location :
Princeton, NJ
Print_ISBN :
1-4244-0349-9
Electronic_ISBN :
1-4244-0350-2
DOI :
10.1109/CISS.2006.286468