Angélique Drémeau

 
 

Research interests


Methodologies

        - Structured and sparse representations: decomposition algorithms, dictionary learning

        - Statistical tools: Bayesian inference, Expectation-Maximization algorithm, variational approximations, Markov Chain Monte-Carlo methods


Application areas

        - Inverse problems: (informed) phase retrieval, continuous dictionaries

        - In underwater acoustics: DOA estimation in fluctuating environments, compressed sensing for modal estimation

Assistant professor