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SUMMARY:Compressed sensing for inverse problems
DTSTART:20250410T120000Z
DTEND:20250410T130000Z
DTSTAMP:20260305T174600Z
UID:indico-event-313@math-events.uni-bonn.de
CONTACT:zemas@iam.uni-bonn.de\;73-62383
DESCRIPTION:Speakers: Alessandro Felisi (University Genua)\n\nCompressed s
 ensing allows for the recovery of sparse signals from a small number of me
 asurements\, which are proportional (up to logarithmic factors) to the spa
 rsity of the unknown signal. Classical theory primarily considers randomly
  subsampled isometries in the finite-dimensional setting. In this talk\, I
  will show how the theory of compressed sensing can also be rigorously app
 lied to a variety of ill-posed inverse problems\, including X-ray and phot
 oacoustic tomography. Specifically\, we will investigate\, within a genera
 l framework\, the relationship between the sparsity level of a signal\, th
 e ill-posedness of the problem\, and the number of measurements required f
 or stable reconstruction.\n \n\nhttps://math-events.uni-bonn.de/event/313
 /
LOCATION:Endenicher Allee 60/1-016 - Lipschitzsaal (Mathezentrum)
URL:https://math-events.uni-bonn.de/event/313/
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