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SUMMARY:Blind sparsity constrained  inverse problems in volumetric imaging
  - Al Hero\, University of Michigan
DTSTART:20080519T131500Z
DTEND:20080519T141500Z
UID:TALK12274@talks.cam.ac.uk
CONTACT:Taylan Cemgil
DESCRIPTION:Magnetic resonance force microscopy is an emerging  inverse pr
 oblem in\nwhich the object domain has a natural sparseness property.\nSee-
 through-wall radar imaging is another application where sparsity\nnaturall
 y occurs in the object domain. When the forward operator is only\npartiall
 y known the blind sparsity constrained problem becomes relevant.\nWe will 
 describe approaches to solving these  naturally sparse inverse\nproblems t
 hat rely on physics modeling\, sparsity penalization\, and\noptimization.\
 n
LOCATION:LR5\, Engineering\, Department of
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