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» A distributed minimum variance estimator for sensor networks
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CORR
2007
Springer
144views Education» more  CORR 2007»
13 years 7 months ago
Distributing the Kalman Filter for Large-Scale Systems
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
Usman A. Khan, José M. F. Moura
IPSN
2011
Springer
12 years 10 months ago
SpiderBat: Augmenting wireless sensor networks with distance and angle information
Having access to accurate position information is a key requirement for many wireless sensor network applications. We present the design, implementation and evaluation of SpiderBa...
Georg Oberholzer, Philipp Sommer, Roger Wattenhofe...
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
14 years 11 days ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
IJSNET
2006
133views more  IJSNET 2006»
13 years 7 months ago
On the hop count statistics for randomly deployed wireless sensor networks
: In this paper we focus on exploiting the information provided by a generally accepted and largely ignored hypothesis (the random deployment of the nodes of an ad hoc or wireless ...
Stefan Dulman, Michele Rossi, Paul J. M. Havinga, ...
DCOSS
2006
Springer
13 years 11 months ago
Efficient In-Network Processing Through Local Ad-Hoc Information Coalescence
We consider in-network processing via local message passing. The considered setting involves a set of sensors each of which can communicate with a subset of other sensors. There is...
Onur Savas, Murat Alanyali, Venkatesh Saligrama