Finite Rate of Innovation (FRI) - Reconstruction of Splines

Tutor: Tobias Schnier
Type of Thesis: Master's thesis (MSc)
date of end: 02/2017
Student: Zhang Dacheng
Status: finished
ANT-shelfmark:
Abstract:

In this thesis, the topic Finite Rate of Innovation is analyzed.


Main Questions:

-Are the requirements of FRI fulfilled for splines?

-How can splines be reconstructed with the FRI approach?


Applications

The lossless compression of Neuro signals is an open research topic. As Neuro signals fulfill the FRI requirements and splines are a good approximation with lower FRI, splines are a good candidate for this task.


Work to Do

-Literature research of given papers on FRI

-Evaluation of the requirements towards splines

-Implementation of spline reconstruction algorithms


Expertise needed

Intermediate math and MATLAB-skills

Last change on 20.06.2017 by
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