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|Title:||Density estimation communication systems||Authors:||Wang, Peng||Keywords:||DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing||Issue Date:||2007||Source:||Wang, P. (2007). Density estimation communication systems. Doctoral thesis, Nanyang Technological University, Singapore.||Abstract:||Density 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.||URI:||https://hdl.handle.net/10356/3472||DOI:||10.32657/10356/3472||Rights:||Nanyang Technological University||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
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