Title :
Vector Wyner-Ziv coding for vector Gaussian CEO problem
Author :
Lin, Shih-Chun ; Su, Hsuan-Jung
Author_Institution :
Nat. Taiwan Univ., Taipei
Abstract :
Wyner-Ziv coding (WZC) is a compression technique which uses decoder side-information to help reconstruction. The vector WZC is a key element to solve the vector Gaussian CEO problem for sensor networks. Compared with the scalar CEO problem, in the vector CEO problem sensor node array is used by each agent and a vector source is to be estimated. In this paper, we present a nested-lattice based vector WZC structure, which is a generalization of the scalar WZC proposed by Zamir et al. The key is to explore the duality between the WZC problem and the dirty paper coding (DPC) problem. This coding structure is shown to be able to achieve the Berger-Tung sum rate, which is the best known compression rate for the CEO problem.
Keywords :
Gaussian processes; source coding; vectors; wireless sensor networks; Berger-Tung sum rate; chief executive officer problem; decoder side-information; dirty paper coding; nested-lattice based structure; sensor networks; vector Gaussian CEO problem; vector Wyner-Ziv coding; Bandwidth; Constraint theory; Decoding; Noise measurement; Power system modeling; Sensor arrays; Sensor fusion; Sensor systems; Source coding; Symmetric matrices; CEO problem; Wyner-Ziv; multiterminal source coding; side information;
Conference_Titel :
Information Sciences and Systems, 2007. CISS '07. 41st Annual Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
1-4244-1063-3
Electronic_ISBN :
1-4244-1037-1
DOI :
10.1109/CISS.2007.4298324
