Density estimation communication systems
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 ha...
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2008
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sg-ntu-dr.10356-34722023-07-04T16:40:22Z Density estimation communication systems Wang, Peng Ser, Wee School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing 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. DOCTOR OF PHILOSOPHY (EEE) 2008-09-17T09:30:42Z 2008-09-17T09:30:42Z 2007 2007 Thesis Wang, P. (2007). Density estimation communication systems. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/3472 10.32657/10356/3472 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Wang, Peng Density estimation communication systems |
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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. |
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Ser, Wee |
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Ser, Wee Wang, Peng |
| format |
Theses and Dissertations |
| author |
Wang, Peng |
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Wang, Peng |
| title |
Density estimation communication systems |
| title_short |
Density estimation communication systems |
| title_full |
Density estimation communication systems |
| title_fullStr |
Density estimation communication systems |
| title_full_unstemmed |
Density estimation communication systems |
| title_sort |
density estimation communication systems |
| publishDate |
2008 |
| url |
https://hdl.handle.net/10356/3472 |
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1772826362164281344 |