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SUMMARY:Structured compressed sensing and recent theoretical advances on o
 ptimal sampling - Claire Boyer (Université Pierre et Marie Curie Paris\; 
 ENS - Paris)
DTSTART:20171102T163000Z
DTEND:20171102T172000Z
UID:TALK94369@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Joint works with J&eacute\;r&eacute\;mie Bigot and Pierre Weis
 s on the one hand\, and Ben Adcock on the other hand.  First\, we will the
 oretically justify the applicability of compressed sensing (CS) in real-li
 fe applications. To do so\, CS theorems compatible with physical acquisiti
 on constraints will be introduced. These results do not only encompass str
 ucture in the acquisition but also structured sparsity of the signal of in
 terest. This theory considerably extends the standard framework of CS. Sec
 ondly\, recent advances on optimal sampling in CS will be presented\, in t
 he sense that the sampling strategy minimizes the bound on the required nu
 mber of measurements for CS recovery.
LOCATION:Seminar Room 1\, Newton Institute
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