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EPFL IMAGING
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Domaines de compétences
Medical Imaging
Biological Imaging
Wavelets
Splines
Multiresolution
Research unit
Laboratoire d'imagerie biomédicaleEnseignement & Phd
Enseignement
Microengineering
Mathematics
Programmes doctoraux
Doctorants
Aziznejad Shayan, Bohra Pakshal Narendra, Debarre Thomas Jean, Goujon Alexis Marie Frederic, Liu Yan, Lloréns Jover Icíar, Pham Thanh-An Michel, Pourya Mehrsa,A dirigé les thèses EPFL de
Aguet François , Arigovindan Muthuvel , Badoual Anaïs Laure Marie-Thérèse , Baritaux Jean-Charles , Bostan Emrah , Bourquard Aurélien , Chaudhury Kunal Narayan , Dehghani Tafti Pouya , Delgado Gonzalo Ricard , Donati Laurène , Fageot Julien René Pierre , Feilner Manuela , Guerquin-Kern Matthieu , Gupta Harshit , Horbelt Stefan , Jacob Mathews , Jonic Slavica , Kamilov Ulugbek , Khalidov Ildar , Kybic Jan , Liebling Michael Stefan Daniel , Luisier Florian , Munoz Barrutia Maria Arrate , Nilchian Masih , Pad Pedram , Püspöki Zsuzsanna , Ramani Sathish , Schmitter Daniel Andreas , Sühling Michael , Uhlmann Virginie Sophie , Vonesch Cédric René Jean ,Cours
Sparse stochastic processes
Sparse stochastic processes are continuous-domain processes that admit a parsimonious representation in some matched wavelet-like basis. Such models are relevant for image compression, compressed sensing, and, more generally, for the derivation of statistical algorithms for solving ill-posed inverse problems.
This course is devoted to the study of the broad family of sparse processes that