MULTISENSOR SIGNAL PROCESSING: THEORY AND ALGORITHMS FOR IMAGE-BASED RENDERING AND MULTICHANNEL SAMPLING

ue to the volume conduction multichannel electroencephalogram (EEG) recordings give a rather blurred image of brain activity. Therefore spatial filters are extremely useful in single-trial analysis in order to improve the signal-to-noise ratio.

Normally speech signals are contaminated with noise and interference that reduces the intelligibility of speech during communication. In order to make speech signals eective and useful, they need to be enhanced from the noisy speech signal. In s