Imaging sparse reflectivities from noisy data

Probability and Financial Mathematics Seminar

Meeting Details

For more information about this meeting, contact Kristin Berrigan, Anna Mazzucato, Alexei Novikov, Yuanyuan Feng.

Speaker: Alexei Novikov, Penn State

Abstract: I will discuss the problem of imaging sparse scenes from a few noisy data using an l1-minimization approach. This problem can be cast as a linear system of the form Ax = b, where A is an N × K measurement matrix with N much smaller than K. I'll explain when we can recover a good approximate solution to the noiseless linear system using noisy data.


Room Reservation Information

Room Number: 114 McAllister

Date: 11/01/2019

Time: 2:30pm - 4:30pm