Sparse Signal Recovery and Bayesian Compressed Sensing

Lecturer: 
Professor Bhaskar D. Rao
Lecturer's institute: 
Jacobs School of Engineering, University of California San Diego (UCSD), USA
Date: 
14.9.2021 (All day) to 16.9.2021 (All day)

Schedule: to be defined later

In the recent decade, sparse representations have shown to be useful in many signal processing applications such as medical imaging, communications, among other applications. This course will provide an overview of the algorithms and available theoretical results in this emerging area.

18 x 45min (3 days, includes 12x45min pre-recorded videos, and 6x45min interactive live online sessions)

More information: markus.leinonen(at)oulu.fi

Last updated: 10.2.2021