| dc.contributor.author | Wang, Peng | en_US |
| dc.date.accessioned | 2008-09-17T09:30:42Z | |
| dc.date.accessioned | 2017-07-23T08:31:04Z | |
| dc.date.available | 2008-09-17T09:30:42Z | |
| dc.date.available | 2017-07-23T08:31:04Z | |
| dc.date.copyright | 2007 | en_US |
| dc.date.issued | 2007 | |
| dc.identifier.citation | Wang, P. (2007). Density estimation communication systems. Doctoral thesis, Nanyang Technological University, Singapore. | |
| dc.identifier.uri | http://hdl.handle.net/10356/3472 | |
| dc.description.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. | en_US |
| dc.rights | Nanyang Technological University | en_US |
| dc.subject | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing | |
| dc.title | Density estimation communication systems | en_US |
| dc.type | Thesis | en_US |
| dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
| dc.contributor.supervisor | Ser, Wee | en_US |
| dc.description.degree | DOCTOR OF PHILOSOPHY (EEE) | en_US |
| dc.identifier.doi | https://doi.org/10.32657/10356/3472 | |
