University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > On the gap between local recovery guarantees in structured compressed sensing and oracle estimates

On the gap between local recovery guarantees in structured compressed sensing and oracle estimates

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

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

STSW01 - Theoretical and algorithmic underpinnings of Big Data

This is an on-going work with Ben Adcock and Simone Brugiapaglia (Simon Fraser University, Burnaby). First we will introduce a compressed sensing (CS) theory more compatible with real-life applications: we derive guarantees to ensure reconstruction of a structured sparse signal of interest while imposing structure in the acquisition (no Gaussian measurements here…). We will study how far those CS results are from oracle-type guarantees, and we will show that they are similar in terms of the required number of measurements. These results give an insight to design new optimal sampling strategies when realistic physical constraints are imposed in the acquisition.

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.

 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity