Courses
Massimo Fornasier:
Learning sums of ridge functions in high dimensions: a nonlinear compressed sensing model. (Slides)
Gitta Kutyniok:
1. Lecture: An Introduction to Compressed Sensing 2. Lecture: Applied Harmonic Analysis and Compressed Sensing (Slides Part 1), (Slides Part 2), (Slides Part 3), (Slides Part 4)
Holger Rauhut:
Structured random measurements in compressed sensing (Slides)
Roman Vershynin:
Can Lasso be used for non-linear data?
Rachel Ward:
Low-‐rank matrix recovery and phase retrievalAdditionally there will be some presentations on some recent applications of Compressed Sensing techniques by Axel Flinth, Martin Genzel and Jackie Ma. And a tutorial on the basics of Compressed Sening (Exercises, Solutions)