Stability of some super-resolution problems

Speaker
Dmitry Batenkov from MIT
Date
24/01/2019 - 12:30 - 11:00Add to Calendar 2019-01-24 11:00:00 2019-01-24 12:30:00 Stability of some super-resolution problems The problem of computational super-resolution asks to recover fine features of a signal from inaccurate and bandlimited data, using an  a-priori model as a regularization.  I will describe several situations for which sharp bounds for stable reconstruction are known, depending on signal complexity, noise/uncertainty level, and available data bandwidth.  I will also discuss optimal recovery algorithms, and some open questions. Building 216, Room 201 אוניברסיטת בר-אילן - Department of Mathematics mathoffice@math.biu.ac.il Asia/Jerusalem public
Place
Building 216, Room 201
Abstract

The problem of computational super-resolution asks to recover fine

features of a signal from inaccurate and bandlimited data, using an

 a-priori model as a regularization.  I will describe several

situations for which sharp bounds for stable reconstruction are known,

depending on signal complexity, noise/uncertainty level, and available

data bandwidth.  I will also discuss optimal recovery algorithms, and

some open questions.

Last Updated Date : 23/01/2019