About the school

The school aims to introduce the participants to some current mathematical methods used in signal and data processing, particularly frames and its applications (including fusion frames, and frames in time-frequency and time-scale analysis), compressed sensing, kernel methods and data classification, and optimization in machine learning. The school will consist of lectures, exercises, and computer laboratory sessions. The level of the school is equivalent to advanced undergraduate courses or master courses.