Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/4578
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dc.contributor.authorLeena Bhandari.en_US
dc.date.accessioned2008-09-17T09:54:38Z-
dc.date.available2008-09-17T09:54:38Z-
dc.date.copyright2005en_US
dc.date.issued2005-
dc.identifier.urihttp://hdl.handle.net/10356/4578-
dc.description.abstractThis 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.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics-
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing-
dc.titleModeling, sampling and reconstruction of EEG signals with seizuresen_US
dc.typeThesisen_US
dc.contributor.supervisorMarziliano, Pinaen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Signal Processing)en_US
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