DocumentCode :
2463999
Title :
Quantizer Design for Decentralized MMSE Estimation
Author :
Marano, Stefano ; Matta, Vincenzo ; Willett, Peter
Author_Institution :
DIIIE, Univ. degli Studi di Salerno, Fisciano
fYear :
2006
fDate :
13-15 Dec. 2006
Firstpage :
1327
Lastpage :
1332
Abstract :
Conceptual and practical encoding/decoding, aimed at accurately reproducing remotely collected observations, has been heavily investigated since the pioneering works by Shannon about source coding. However, when the goal is not to reproduce the observables, but making inference about an embedded parameter and the scenario consists of many unconnected remote nodes, the landscape is less certain. We consider a multi-terminal system designed for efficiently estimating a random parameter according to the MMSE criterion. The analysis is limited to scalar quantizers followed by a joint entropy encoder, and it is performed in the high-resolution regime where the mathematics is easier
Keywords :
decoding; encoding; mean square error methods; quantisation (signal); decentralized MMSE estimation; joint entropy encoder; minimum mean square error; multiterminal system; scalar quantizer design; Decoding; Entropy; Lattices; Mathematics; Parameter estimation; Performance analysis; Rate-distortion; Source coding; USA Councils; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
Type :
conf
DOI :
10.1109/CDC.2006.376962
Filename :
4177035
Link To Document :
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