Conference proceeding
Coding Perspectives for Collaborative Estimation Over Networks
2010 CONFERENCE RECORD OF THE FORTY FOURTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (ASILOMAR), pp 1442-1446
01 Jan 2010
Abstract
A collaborative distributed estimation problem over a communication constrained network is considered from an information theory perspective. A suitable architecture for the codes for this multiterminal information theory problem is determined under source-channel separation. In particular, distributed source codes in which each node multicasts a different message to each subset of other nodes are studied. This code construction hybridizes multiple description codes and codes for the CEO problem. The goal of this paper is to determine the fundamental relationship between the multicast communication rates and estimation performance obtainable. An achievable rate distortion region is proved to this problem and its structural properties are studied. Also, this achievable rate region is shown to simplify to the known bounds to some simpler problems.
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Details
- Title
- Coding Perspectives for Collaborative Estimation Over Networks
- Creators
- Sivagnanasundaram Ramanan - Drexel UniversityJohn MacLaren Walsh - Drexel University
- Contributors
- M B Matthews (Editor)
- Publication Details
- 2010 CONFERENCE RECORD OF THE FORTY FOURTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (ASILOMAR), pp 1442-1446
- Series
- Conference Record of the Asilomar Conference on Signals Systems and Computers
- Publisher
- IEEE
- Number of pages
- 5
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000305886000268
- Scopus ID
- 2-s2.0-79957972051
- Other Identifier
- 991019170439804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Electrical & Electronic
- Telecommunications