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CORR
2008
Springer

Data Fusion Trees for Detection: Does Architecture Matter?

13 years 11 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 independent and identically distributed (i.i.d.) observations. We characterize the optimal error exponent under a Neyman
Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where CORR
Authors Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win
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