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Publications

Affichage des publications 21 à 30 sur 3703 au total

Signal and Image processing

Kalman filter for radio source power and direction of arrival estimation

Images are an important source of information for spacecraft navigation. Based on an image and a known attitude, triangulation techniques (intersection or resection) are often used for positioning and navigation. In the resection problem, an…

Cyril Cano, Nawel Arab, Éric Chaumette, Pascal Larzabal, Mohammed Nabil El Korso, Isabelle Vin

EURASIP Journal on Advances in Signal Processing -

Electronics

A new closed-loop regulation method dedicated to piezoelectric resonators based isolated DC-DC converter

Magnetic components are widely used in power electronics. Yet, their downscaling with frequency becomes moderate from 100 kHz, which limits the possibility of reducing the volume of the passive components in power converters. Therefore, a major…

Emile Bigot, Ghislain Despesse, Valentin Breton, François Costa

PEMD 2024 - 13th International Conference on Power Electronics, Machines and Drives -

Electric power

Gate-Driving Performance Evaluation Based on a New Figure of Merit

Fast switching within static converters is a key to high-efficiency operation and a source of electromagnetic disturbances that can harm the proper functioning of the converters themselves or the electronic equipment placed in their neighborhood. To…

Daniel Sting Martinez-Padron, Nicolas Patin, Eric Monmasson

Electronics -

Computer Science

ML-DOA estimation using a sparse representation of array covariance

Sparse Direction-of-Arrival (DOA) estimators depend on the regularization parameter λ which is often empirically tuned. In this work, conducted under the vectorized covariance matrix model, we are looking for theoretical equivalence between the…

Thomas Aussaguès, Anne Ferréol, Alice Delmer, Pascal Larzabal

6th Junior Conference on Wireless and Optical Communications (JWOC) -

Computer Science

ML-DOA estimation using a sparse representation of array covariance

Sparse Direction-of-Arrival (DOA) estimators depend on the regularization parameter λ which is often empirically tuned. In this work, conducted under the vectorized covariance matrix model, we are looking for theoretical equivalence between the…

Thomas Aussaguès, Anne Ferréol, Alice Delmer, Pascal Larzabal

9th Junior Conference on Data Science and Engineering (JDSE) -