Ce séminaire a eu lieu en salle A415 à INRIA Paris le 24 septembre à 15h30. Nous avons eu le plaisir d’écouter Julien Fageot (Harvard University).
Titre : Analog Reconstruction from Discrete Measurements
Abstract : We present a general framework for the reconstruction of analog signals from finitely many linear measurements. The reconstruction task is formulated as an optimization problem, whose ill-posedness is removed via the use of regularization costs. A special attention will be devoted to comparing quadratic versus sparsity-promoting methods, the latter being achieved via the total variation norm. The main goal of the presentation is to introduce to the growing and fascinating project of providing continuous-domain methods for the reconstruction of sparse signals.