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