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Special Seminar: Low-dimensionality in mathematical signal processing

Special Events

Speaker: Dr. Yaniv Plan, University of Michigan
Location: 1147 MSB
Start time: Mon, Jan 13 2014, 4:10PM

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. It is natural to ask: can the number of measurements needed to determine a signal be comparable with the information content? We explore this question under modern models of low-dimensionality and measurement acquisition.

A Department Tea will follow the Talk in the Alder Room.