BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Compressed sensing and the art of subsampling - Anders Hansen - DA
 MTP\, Centre for Mathematical Sciences\, University of Cambridge
DTSTART:20131127T141500Z
DTEND:20131127T151500Z
UID:TALK47032@talks.cam.ac.uk
CONTACT:David Greaves
DESCRIPTION:The ability to reconstruct data from under sampled information
  is highly desirable in many areas\, ranging from medical imaging and sign
 al processing to statistics and machine learning. The problem of reconstru
 cting from under sampled data can often be formulated as an underdetermine
 d linear system of equations y = Ax\, where the size of y is much smaller 
 than the size of x. Compressed sensing offers a solution to this problem b
 y introducing convex optimisation techniques that under certain assumption
 s allow for reconstruction of x from under sampled information y. I will g
 ive an overview of the concept of compressed sensing and also demonstrate 
 its use in practice and some of its rather intriguing effects especially i
 n signal processing and medical imaging.
LOCATION:Lecture Theatre 1\, Computer Laboratory
END:VEVENT
END:VCALENDAR