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CDC
2010
IEEE
148views Control Systems» more  CDC 2010»
14 years 4 months ago
Distributed parameter estimation in networks
In this paper, we present a model of distributed parameter estimation in networks, where agents have access to partially informative measurements over time. Each agent faces a loca...
Kamiar Rahnama Rad, Alireza Tahbaz-Salehi
TOSN
2011
116views more  TOSN 2011»
14 years 4 months ago
A model framework for greedy routing in a sensor network with a stochastic power scheme
A stochastic model is formulated and analyzed to study the advancements of messages under greedy routing in a sensor network with a power-saving scheme. The aim of this model is g...
Holger Paul Keeler, Peter G. Taylor
JDCTA
2010
126views more  JDCTA 2010»
14 years 4 months ago
Continuous Neural Decoding Method Based on General Regression Neural Network
Neural decoding is an important task for understanding how the biological nervous system performs computation and communication. This paper introduces a novel continuous neural de...
Jianhua Dai, Xiaochun Liu, Shaomin Zhang, Huaijian...
TOG
2010
118views more  TOG 2010»
14 years 4 months ago
A hierarchical volumetric shadow algorithm for single scattering
Volumetric effects such as beams of light through participating media are an important component in the appearance of the natural world. Many such effects can be faithfully modele...
Ilya Baran, Jiawen Chen, Jonathan Ragan-Kelley, Fr...
TSP
2010
14 years 4 months ago
Efficient Maximum Entropy Reconstruction of Nuclear Magnetic Resonance T1-T2 Spectra
Abstract--This paper deals with the reconstruction of T1-T2 correlation spectra in nuclear magnetic resonance relaxometry. The ill-posed character and the large size of this invers...
Emilie Chouzenoux, Saïd Moussaoui, Jér...