33 citations · 89 across the 29 of their papers we have counts for
5 papers · 1 filter
Sampling Rates for -Synthesis
Maximilian März, Claire Boyer, Jonas Kahn +1
This work investigates the problem of signal recovery from undersampled noisy sub-Gaussian measurements under the assumption of a synthesis-based sparsity model. Solving the $\ell^…
Estimation of linear operators from scattered impulse responses
Jérémie Bigot, Paul Escande, Pierre Weiss
We provide a new estimator of integral operators with smooth kernels, obtained from a set of scattered and noisy impulse responses. The proposed approach relies on the formalism of…
Compressed sensing with structured sparsity and structured acquisition
Claire Boyer, Jérémie Bigot, Pierre Weiss
Compressed Sensing (CS) is an appealing framework for applications such as Magnetic Resonance Imaging (MRI). However, up-to-date, the sensing schemes suggested by CS theories are m…
An algorithm for variable density sampling with block-constrained acquisition
Claire Boyer, Pierre Weiss, Jérémie Bigot
Reducing acquisition time is of fundamental importance in various imaging modalities. The concept of variable density sampling provides a nice framework to achieve this. It was jus…
An analysis of block sampling strategies in compressed sensing
Jérémie Bigot, Claire Boyer, Pierre Weiss
Compressed sensing is a theory which guarantees the exact recovery of sparse signals from a small number of linear projections. The sampling schemes suggested by current compressed…