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SUMMARY:Exploiting Asymptotic Structure for Resolution Enhancement in Phys
 ical Imaging Systems - Dr Bogdan Roman\, Computer Laboratory &amp\; DAMTP\
 , University of Cambridge
DTSTART:20160609T140000Z
DTEND:20160609T150000Z
UID:TALK65864@talks.cam.ac.uk
CONTACT:Prof. Ramji Venkataramanan
DESCRIPTION:Signal recovery from undersampled data is of great importance 
 to physical imaging systems. We identify and model two asymptotic phenomen
 a that manifest in imaging systems. The first\, asymptotic sparsity\, is a
 ssociated with models of signals\, and the second\, asymptotic incoherence
 \, is associated with models of measurement and representation. We show th
 at compressed sensing behaves differently at different resolution\, and de
 velop sampling principles that are aligned with these asymptotic phenomena
  and that enable the the full power of compressed sensing methods to be br
 ought to bear upon four different physical imaging systems: Magnetic Reson
 ance Imaging\, Fluorescence Microscopy\, Nuclear Magnetic Resonance\, and 
 Helium Atom Scattering. In each of these systems the proposed multilevel s
 ampling method enables enhanced resolution at length scales of interest.
LOCATION:LR3B\, Cambridge University Engineering Department
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