Data analysis phd thesis kuleuven
Publications PhD thesis Edison Cristofani. Compressed sensing as a tool for defense applications in phd thesis kuleuven GHz frequency band. Design and analysis of distributed k-nearest neighbors graph algorithms.
Polymer optical structures for sensing.
Signal and Image Centre
A multidisciplinary approach to periodic breathing: Optimum reference signal reconstructon for DVB-T passive radars. Study of solutions against security threats in the context of cognitive radio.
Opportunistic radar imaging using a multichannel data analysis phd thesis kuleuven. Coherent change detection using high-resolution SAR images. Learn more here Analysis of innovating tuning methods for immunity testing in reverberation chamber and comparison to anechoic room Application to civil and military testing in the RMA chamber.
Advances in phd thesis kuleuven formulations and accuracy of the method of moments applied to electromagnetics.
A multi-criteria clustering approach to support attack attribution in cyberspace. Space-time adaptive processing for multistatic radars. Exploiting SAR coherence phd thesis kuleuven time. Person Authentication through 3D Face Analysis.
TSI, Paris, November Analysis and fusion using belief function theory of multisensor data for close-range humanitarian mine detection. A distributed automatic scene-analysis system. A contribution to multi-modal identitiy verification using decision phd thesis kuleuven.
THOMAS VERBRAKEN
PhD thesis, Vrije Universiteit Brussel, Toepassing op de precisienavigatie van landvoertuigen en data analysis phd thesis kuleuven. PhD thesis, Katholieke Universiteit Leuven, Heuristic tree search algorithms using uncomplete information — data analysis object recognition.
Computation of the Radar Cross Section for an arbitrary shaped target.
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Matthijs likes data, patterns, algorithms, and information theory. He strives for data mining and machine learning methods and results that are principled, explainable, and interpretable. Before that, he was a postdoctoral researcher at Universiteit Utrecht for almost two years and in the Machine Learning group of KU Leuven for four years
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September Multigrid methods for the control of time periodic parabolic partial differential equations Thesis advisors: Diehl A variety of applications within the optimization in engineering center OPTEC leads to the simulation and optimization of complex systems of time periodic parabolic partial differential equations PDEs. Traditional methods are based on transforming the problem into a system of ordinary differential equations ODEs and afterwards solving them with existing ODE-solvers.
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