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SUMMARY:Compressed Sensing - Introduction and Future Aspects - Anders Hans
 en\, Department of Applied Mathematics and Theoretical Physics\, Universit
 y of Cambridge
DTSTART:20091111T163000Z
DTEND:20091111T180000Z
UID:TALK20910@talks.cam.ac.uk
CONTACT:Richard Samworth
DESCRIPTION:Compressed Sensing is a remarkable tool for complete data reco
 nstruction\nfrom highly under sampled data sets with applications in Medic
 al Imaging\,\nImage Reconstruction\, Signal Processing etc. I will cover t
 he basics from a\nnon-technical point of view with emphasis on application
 s and statistical\nideas. I will also discuss some of the limitations in t
 he current theory and\nhow to possibly handle much more general inverse pr
 oblems in the future.\n\nPreliminary reading: \n\n"A good survey for non-e
 xperts":http://www-stat.stanford.edu/~candes/papers/CompressiveSampling.pd
 f\n\n"A slightly more technical choice":http://www-stat.stanford.edu/~cand
 es/papers/PartialMeasurements.pdf\n\n"For the advanced reader 1":http://ww
 w-stat.stanford.edu/~candes/papers/ExactRecovery.pdf\n\n"For the advanced 
 reader 2":http://www.acm.caltech.edu/~hansen/Inf_CS42.pdf\n
LOCATION:MR5\, CMS
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