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NIPS
2007
13 years 11 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
CORR
2010
Springer
107views Education» more  CORR 2010»
13 years 9 months ago
Distributed Detection over Time Varying Networks: Large Deviations Analysis
—We apply large deviations theory to study asymptotic performance of running consensus distributed detection in sensor networks. Running consensus is a stochastic approximation t...
Dragana Bajovic, Dusan Jakovetic, João Xavi...
AUTOMATICA
2006
112views more  AUTOMATICA 2006»
13 years 10 months ago
Joint identification of plant rational models and noise distribution functions using binary-valued observations
System identification of plants with binary-valued output observations is of importance in understanding modeling capability and limitations for systems with limited sensor inform...
Le Yi Wang, Gang George Yin, Ji-Feng Zhang
DCC
2005
IEEE
14 years 10 months ago
Distributed Source Coding in Dense Sensor Networks
We study the problem of the reconstruction of a Gaussian field defined in [0, 1] using N sensors deployed at regular intervals. The goal is to quantify the total data rate require...
Akshay Kashyap, Cathy H. Xia, Luis Alfonso Lastras...
ICPADS
2008
IEEE
14 years 4 months ago
Mobility-Assisted Position Estimation in Wireless Sensor Networks
Wireless sensor networks (WSNs) have been proposed for a multitude of location-dependent applications. To stamp the collected data and facilitate communication protocols, it is nec...
Hongyang Chen, Pei Huang, Hing-Cheung So, Kaoru Se...