Summary
Since the groundbreaking work of Candes and Donoho in 2006 compressed sensing has gained significant attention in various fields of research. Their work is based on the fact that many real world signals are known to be sparse in a certain domain. Exploiting this knowledge allows sampling at sub-Nyquist rate, i.e. performing data acquisition and compression simultaneously, while still ensuring exact reconstruction. This presentation gives a brief overview of the main idea behind compressed sensing.
Files
The slides of the presentation are here.