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20132019
most citedOn the linear convergence rates of exchange and continuous methods for total variation minimization

33 citations

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cs.IT2015★ 6 cited

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…

cs.IT2013

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…

cs.IT2013

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…