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ICASSP
2011
IEEE
12 years 8 months ago
Error exponents for decentralized detection in feedback architectures
We consider the decentralized Bayesian binary hypothesis testing problem in feedback architectures, in which the fusion center broadcasts information based on the messages of some...
Wee-Peng Tay, John N. Tsitsiklis
CORR
2008
Springer
136views Education» more  CORR 2008»
13 years 5 months ago
Data Fusion Trees for Detection: Does Architecture Matter?
We consider the problem of decentralized detection in a network consisting of a large number of nodes arranged as a tree of bounded height, under the assumption of conditionally in...
Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win
TSP
2011
144views more  TSP 2011»
12 years 12 months ago
On Decentralized Detection With Partial Information Sharing Among Sensors
—We study a decentralized detection architecture in which each of a set of sensors transmits a highly compressed summary of its observations (a binary message) to a fusion center...
O. Patrick Kreidl, John N. Tsitsiklis, Spyros I. Z...
CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 5 months ago
High-Rate Quantization for the Neyman-Pearson Detection of Hidden Markov Processes
This paper investigates the decentralized detection of Hidden Markov Processes using the NeymanPearson test. We consider a network formed by a large number of distributed sensors....
Joffrey Villard, Pascal Bianchi, Eric Moulines, Pa...
CORR
2007
Springer
94views Education» more  CORR 2007»
13 years 4 months ago
Universal Quantile Estimation with Feedback in the Communication-Constrained Setting
Abstract— We consider the following problem of decentralized statistical inference: given i.i.d. samples from an unknown distribution, estimate an arbitrary quantile subject to l...
Ram Rajagopal, Martin J. Wainwright