The MEXICA project combines a broad spectrum of key research training activities on “Multi-EXponential analysis with applications In Computational and Applied sciences” that are currently being undertaken in some of Europe’s premier research institutes and laboratories.
The SPARSIT project offers a parametric method to retrieve high-resolution information from coarse-scale measurements using uniform downsampling by exploiting aliasing. The technique can be combined with different multi-exponential analysis methods. The method is patented and the SPARSIT project explores its use in computational science and engineering.
The SMARTCARE project targets interaction and collaboration among Master students from the Faculty of Science and the Faculty of Applied Economics of the Universiteit Antwerpen and the Faculty of Engineering of the Katholieke Universiteit Leuven. The technical goal is to implement efficient methods to process biomedical signals.