dc.contributor.authorLi, Mingbinen_US
dc.date.accessioned2011-12-27T05:43:02Z
dc.date.accessioned2017-07-23T08:33:52Z
dc.date.available2011-12-27T05:43:02Z
dc.date.available2017-07-23T08:33:52Z
dc.date.copyright2007
dc.date.issued2007
dc.identifier.citationLi, M. (2007). Neural networks in complex field. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/46898
dc.description173 p.en_US
dc.description.abstractIn digital communication systems, intersymbol interference (ISI) caused by multipath in time dispersive channels distorts the transmitted signal which is one of the major obstacles to high speed data transmission. Equalization is a technique used to combat intersymbol interference at receivers.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systemsen_US
dc.titleNeural networks in complex fielden_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.supervisorHuang Guangbinen_US
dc.description.degreeDOCTOR OF PHILOSOPHY (EEE)en_US
dc.identifier.doihttps://doi.org/10.32657/10356/46898


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