University of Cambridge > > Isaac Newton Institute Seminar Series > Lecture 2: Compressive Imaging

Lecture 2: Compressive Imaging

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact INI IT.

ASC - Approximation, sampling and compression in data science

In these lectures I will present an introduction to compressed sensing and sparse approximation.  The first lecture gives an overview of compressed sensing and its standard theory.  Next, I will focus on two major areas of application.  The second lecture considers image reconstruction, and its application to medical and scientific imaging.  The third lecture considers high-dimensional approximation via compressed sensing, with application to parametric PDEs in Uncertainty Quantification.

This talk is part of the Isaac Newton Institute Seminar Series series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2023, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity