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Publications

Affichage des publications 2331 à 2340 sur 4084 au total

Mathematics

Efficient Variational Bayesian Approximation Method Based on Subspace optimization

Variational Bayesian approximations have been widely used in fully Bayesian inference for approx- imating an intractable posterior distribution by a separable one. Nevertheless, the classical variational Bayesian approximation (VBA) method suffers…

Yuling Zheng, Aurélia Fraysse, Thomas Rodet

IEEE Transactions on Image Processing -

Image Processing

L0-Optimization for Channel and DOA Sparse Estimation

This paper is devoted to two classical sparse problems in array processing: Channel estimation and DOA estimation. It is shown after some background and some recent results in l0 optimization how this latter can be used, at the same computational…

Adilson Chinatto, Emmanuel Soubies, Cynthia Junqueira, Joâo M. T. Romano, Pascal Larzabal, Jean-Pierre Barbot, Laure Blanc-Féraud

International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) -

Electronics

Interface Circuit for Vibration Energy Harvesting with Adjustable Bias Voltage

This paper presents a new interface circuit for electrostatic vibration energy harvesting with adjustable bias voltage. An electronic switch is used to modify the circuit configuration so that the harvested energy increases the voltage across a…

J Wei, Elie Lefeuvre, H. Mathias, François Costa

PowerMEMS 2015 -

Optimization and Control

Stochastic optimization of an Electric Vehicle Fleet Charging with Uncertain Photovoltaic Production

Simultaneous development of photovoltaic generation and electric vehicles strengthens the solicitations on the electric power system. This paper investigates the possible synergy between these players to jointly improve the production predictability…

Roman Le Goff Latimier, B Multon, Hamid Ben Ahmed, Franck Baraer, Mickael Acquitter

4th International Conference on Renewable Energy Research and Applications (ICRERA 2015) -

Mathematical Physics

Surface crack reconstruction from eddy current images using a direct semi-analytic model

A method relying on a direct semi-analytic model is proposed for reconstructing cracks from eddy current images. We consider systems featuring a uniform excitation flow which can be modelled by means of fictitious current sources distributed in the…

Eric Vourc'H, Thierry Bore, Caifang Cai, Romain Soulat

Journal of Physics: Conference Series -