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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| Format: | Thesis |
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2008
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| Online Access: | https://hdl.handle.net/10356/3472 |
| _version_ | 1826116978786435072 |
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| author | Wang, Peng |
| author2 | Ser, Wee |
| author_facet | Ser, Wee Wang, Peng |
| author_sort | Wang, Peng |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T04:20:15Z |
| format | Thesis |
| id | ntu-10356/3472 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T04:20:15Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Wang, Peng Density estimation communication systems |
| title | Density estimation communication systems |
| title_full | Density estimation communication systems |
| title_fullStr | Density estimation communication systems |
| title_full_unstemmed | Density estimation communication systems |
| title_short | Density estimation communication systems |
| title_sort | density estimation communication systems |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
| url | https://hdl.handle.net/10356/3472 |
| work_keys_str_mv | AT wangpeng densityestimationcommunicationsystems |