In this topic, the multiple measurement part of Compressed Sensing is investigated.

Main questions:

Is there a inherit structure in my measurements (like adjacent sensor nodes) that can be exploited?

Are there different types of models that are common?

Application:

Imagine there are several temperature sensor in one room. Because of the global circumstances they should measure similar values. But locally there are disturbances that affect the individual sensors.

Can this global/local structure be used to decrease the overall measurements needed in comparison to measuring each one individually?

Work to do:

Literature search of already known joint sparsity models

Researching new joint sparsity models and presenting apllications for it

MATLAB-programming of synthetically designed problems to evaluate the efficiency of the models

Expertise needed:

Basic mathematical background is needed