Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/4099
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dc.contributor.authorZou, Qiyue.en_US
dc.date.accessioned2008-09-17T09:44:25Z-
dc.date.available2008-09-17T09:44:25Z-
dc.date.copyright2004en_US
dc.date.issued2004-
dc.identifier.urihttp://hdl.handle.net/10356/4099-
dc.description.abstractParameter estimation plays a central role in many biomedical applications. This dissertation addresses the parameter estimation problems arising from two typical biomedical applications from a perspective of system theory A systematic approach to evaluate the Cramer Rao lower bound is developed for a class of biomedical applications that can be represented by the state-space models.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Electronic systems-
dc.titleSystem theory in biomedical applicationsen_US
dc.typeThesisen_US
dc.contributor.supervisorLin, Zhipingen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Engineeringen_US
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