Mathematics Colloquium
Low-dimensionality in mathematical signal processing
Event Details
Date
Friday, January 24, 2014
Time
4 p.m.
Location
B239 Van Vleck Hall
Description
Yaniv Plan (Stanford): Natural images tend to be compressible, i.e., the amount of
information needed to encode an image is small. This conciseness of
information -- in other words, low dimensionality of the signal -- is
found throughout a plethora of applications ranging from MRI to
quantum state tomography....
information needed to encode an image is small. This conciseness of
information -- in other words, low dimensionality of the signal -- is
found throughout a plethora of applications ranging from MRI to
quantum state tomography....
Website
Cost
Free
Contact