In this project possible dictionaries for real neuro data are evaluated and new dicitionaries proposed.

Main questions:

Do standard bases like Fourier or Wavelet describe Neuro data sufficiently?

Will using Dictionary Learning algorithms lead to better results?

Application:

Through wireless implants neuro data is transmitted out of the brain via Compressed Sensing (CS) algorithms. To reconstruct them properly a well designed dictionary is needed that can represent the real neuro data in a practical way.

Work to do:

Literature search of common dictionaries

Test found dictionaries on real neuro data

Literature search of dictionary learning algorithms

MATLAB-programming of found dictionary learning algorithms and testing them on real neuro data

Expertise needed

CS knowledge is helpful but not a requirement

Basic mathematical background is needed

Basis MATLAB knowledge is needed