dc.contributor.authorWang, Pengen_US
dc.date.accessioned2008-09-17T09:30:42Z
dc.date.accessioned2017-07-23T08:31:04Z
dc.date.available2008-09-17T09:30:42Z
dc.date.available2017-07-23T08:31:04Z
dc.date.copyright2007en_US
dc.date.issued2007
dc.identifier.citationWang, P. (2007). Density estimation communication systems. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/3472
dc.description.abstractDensity estimation refers to a family of techniques that attempt to model the statistics (e.g. the probability density function) of a signal based on a sequence of observations. While parametric density estimation has been widely used in communications, non- and semi-parametric density estimation has received much less attention. The objective of this study is to investigate the possibility of using non- and semi-parametric density estimation techniques to solve the problems that cannot be easily handled with parametric approaches. In particular, two problems have been investigated: the estimation of the error rate and the mitigation of the inter-symbol interference.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
dc.titleDensity estimation communication systemsen_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.supervisorSer, Weeen_US
dc.description.degreeDOCTOR OF PHILOSOPHY (EEE)en_US


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