Software Practical: Compressed Sensing

The software practical is suited for students attending the lecture on Compressed Sensing that additionally wish to apply the algorithms and concepts to concrete examples in order to get a deeper understanding.

Registration: in the lecture, or mail to Stefania Petra.

After choosing a project, along with a concrete problem instance like image reconstruction (Radon, MRI), deblurring, inpainting or face recognition your task is to implement the algorithm in MATLAB. Write a small report with 5-7 pages to decribe the algorithm, convergence properties and your problem setup along with the results of your experiments. Additionally you should briefly demonstrate your code.

You can hand in your code+report during or after the semester break but no later than 20.04.2019.

How to get MATLAB

TBA