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CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
14 years 2 months ago
The Kalman like particle filter: Optimal estimation with quantized innovations/measurements
— We study the problem of optimal estimation using quantized innovations, with application to distributed estimation over sensor networks. We show that the state probability dens...
Ravi Teja Sukhavasi, Babak Hassibi
ICCAD
2006
IEEE
129views Hardware» more  ICCAD 2006»
14 years 7 months ago
Energy budgeting for battery-powered sensors with a known task schedule
Battery-powered wireless sensors are severely constrained by the amount of the available energy. A method for computing the energy budget per sensing task can be a valuable design...
Daler N. Rakhmatov
AUTOMATICA
2010
99views more  AUTOMATICA 2010»
13 years 10 months ago
Continuous trajectory planning of mobile sensors for informative forecasting
This paper addresses planning of continuous paths for mobile sensors to reduce uncertainty in some quantities of interest in the future. The mutual information between the measure...
Han-Lim Choi, Jonathan P. How
TIP
2008
126views more  TIP 2008»
13 years 10 months ago
Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation
Abstract--In this paper, we propose a maximum-entropy expectation-maximization (MEEM) algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constrain...
Hunsop Hong, Dan Schonfeld
EMSOFT
2010
Springer
13 years 8 months ago
Nucleos: a runtime system for ultra-compact wireless sensor nodes
Nucleos is a new runtime system for ultra-lightweight embedded systems. Central to Nucleos is a dispatcher based on the concept of e threaded code, which enables layers of abstrac...
Jiwon Hahn, Pai H. Chou