DocumentCode
3225875
Title
Distributed Multi-stage Coding of Correlated Sources
Author
Saxena, Ankur ; Rose, Kenneth
Author_Institution
Univ. of California, Santa Barbara
fYear
2008
fDate
25-27 March 2008
Firstpage
312
Lastpage
321
Abstract
This paper considers the problem of distributed scalable coding of correlated sources that are communicated to a central unit. The general setting is typically encountered in sensor networks. The conditions of communication channels between the sensor sources and fusion center may be time-varying and it is often desirable to guarantee a base layer of coarse information during channel fades. Specifically, we consider a multi-stage coding system to perform such distributed scalable coding of correlated sources. This problem poses new challenges. We show that mere extensions of distributed coding ideas to include multi-stage coding yield poor rate-distortion performance, due to underlying conflicts between the objectives of scalable and distributed coding. An appropriate system paradigm is developed which allows such tradeoffs to be explicitly controlled within joint optimization of all the system components. We propose an iterative joint design technique and derive the necessary conditions for optimality which yield its update rules. Simulation results show substantial gains over single source (separate) multi-stage coding as well as naive extensions to incorporate scalability in distributed scalable coding schemes.
Keywords
channel coding; sensor fusion; source coding; communication channels; correlated sources; distributed multi-stage coding; fusion center; sensor sources; source coding; Algorithm design and analysis; Communication channels; Data compression; Decoding; Iterative algorithms; Rate-distortion; Scalability; Sensor fusion; Source coding; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 2008. DCC 2008
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
978-0-7695-3121-2
Type
conf
DOI
10.1109/DCC.2008.64
Filename
4483309
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