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CORR
2007
Springer
87views Education» more  CORR 2007»
13 years 4 months ago
Detection of Gauss-Markov Random Fields with Nearest-Neighbor Dependency
Abstract—The problem of hypothesis testing against independence for a Gauss–Markov random field (GMRF) is analyzed. Assuming an acyclic dependency graph, an expression for the...
Animashree Anandkumar, Lang Tong, Ananthram Swami
CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 4 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...
ICASSP
2009
IEEE
13 years 11 months ago
On the error exponents for detecting randomly sampled noisy diffusion processes
This paper deals with the detection of a continuous random process described by an Ornstein-Uhlenbeck (O-U) stochastic differential equation. Randomly spaced sensors or equivalent...
Walid Hachem, Eric Moulines, Jamal Najim, Fran&cce...
JSAC
2007
119views more  JSAC 2007»
13 years 4 months ago
Cooperative routing for distributed detection in large sensor networks
— In this paper, the detection of a correlated Gaussian field using a large multi-hop sensor network is investigated. A cooperative routing strategy is proposed by introducing a...
Youngchul Sung, Saswat Misra, Lang Tong, Anthony E...