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SUMMARY:Nonlinear reconstruction from binary measurements - Laura Thesing\
 , University of Cambridge
DTSTART:20190227T160000Z
DTEND:20190227T170000Z
UID:TALK120916@talks.cam.ac.uk
CONTACT:Georg Maierhofer
DESCRIPTION:Information theory is a fast-growing area in mathematics\, whi
 ch also changes our everyday life. Compression and efficient reconstructio
 n allow us to acquire and store a large amount of music\, text and images 
 on our electric devices every day.\n\nIn this talk I will discuss the spec
 ial case of binary measurements\, which occur in fluorescence microscopy\,
  single pixel cameras and other analogue measurement devices with an “on
 -off” behaviour. We will look at linear and nonlinear reconstruction tec
 hniques and discuss the number of necessary samples and their location for
  an accurate and stable reconstruction. In the end I will talk briefly abo
 ut current work on extending this work to higher dimensions and how it com
 pares to neural network reconstruction.
LOCATION:MR14\, Centre for Mathematical Sciences
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