522010J:2 Sparse Signal Recovery and Bayesian Compressed Sensing

Short description: 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. The emphasis will be on Bayesian methods.

Schedule: Wednesday 22.9.2021 – Friday 24.9.2021
Interactive lecture at 17:00—19:00 at each day 22ndth, 23rd, and 24th September.

Contact: markus.leinonen@oulu.fi