Modeling, sampling and reconstruction of EEG signals with seizures

This project focuses on modeling the EEG signal of an infant with seizure as signal with finite rate of innovation (FRI). EEG signals are typically non-bandlimited signals and therefore the classical sampling theorem [1], [2] cannot be applied as it only reconstructs a low pass approximation of the original signal. The sampling theorems for signals with FRI will be applied to sample and reconstruct the modeled EEG signal with seizure.Master of Science (Signal Processing