Stability of some super-resolution problems
Seminar
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
