Vector Wyner-Ziv coding for vector Gaussian CEO problem

Author

Lin, Shih-Chun ; Su, Hsuan-Jung

Author_Institution

Nat. Taiwan Univ., Taipei

fYear

2007

fDate

14-16 March 2007

Firstpage

333

Lastpage

338

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CISS.2007.4298324

Filename

4298324