Blind Source separaration and multi-channel signal processing
We are interested in combinations of neural network and classic signal enhancement methods. Past Bachelor and Master theses focussed on beamforming and model based separation. More recent work combined these with gradient based learning and neural networks.
If you are interested in advancing methods, unorthodox applications of neural networks and would like to apply your math and programming knowledge in these areas, please visit us in our office so that we may discuss possible topics.
