Fast neural networks digital beamformer based on slow genetic algorithm solutions
In this thesis, digital beamforming (DBF) based on genetic algorithms and neural networks is studied. Digital beamforming is a flexible spatial filter processing that operates on the digitized outputs of an antenna array to enhance the ratio of signal level to environment noise and directional inter...
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| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/3699 |
| _version_ | 1826110252795297792 |
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| author | Wang, Yan. |
| author2 | Lu, Yilong |
| author_facet | Lu, Yilong Wang, Yan. |
| author_sort | Wang, Yan. |
| collection | NTU |
| description | In this thesis, digital beamforming (DBF) based on genetic algorithms and neural networks is studied. Digital beamforming is a flexible spatial filter processing that operates on the digitized outputs of an antenna array to enhance the ratio of signal level to environment noise and directional interference. DBF is an emerging technology that offers a number of attractive features beyond the capabilities of conventional arrays. |
| first_indexed | 2024-10-01T02:31:21Z |
| format | Thesis |
| id | ntu-10356/3699 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T02:31:21Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/36992023-07-04T15:52:56Z Fast neural networks digital beamformer based on slow genetic algorithm solutions Wang, Yan. Lu, Yilong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems In this thesis, digital beamforming (DBF) based on genetic algorithms and neural networks is studied. Digital beamforming is a flexible spatial filter processing that operates on the digitized outputs of an antenna array to enhance the ratio of signal level to environment noise and directional interference. DBF is an emerging technology that offers a number of attractive features beyond the capabilities of conventional arrays. Master of Engineering 2008-09-17T09:35:30Z 2008-09-17T09:35:30Z 2003 2003 Thesis http://hdl.handle.net/10356/3699 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Wang, Yan. Fast neural networks digital beamformer based on slow genetic algorithm solutions |
| title | Fast neural networks digital beamformer based on slow genetic algorithm solutions |
| title_full | Fast neural networks digital beamformer based on slow genetic algorithm solutions |
| title_fullStr | Fast neural networks digital beamformer based on slow genetic algorithm solutions |
| title_full_unstemmed | Fast neural networks digital beamformer based on slow genetic algorithm solutions |
| title_short | Fast neural networks digital beamformer based on slow genetic algorithm solutions |
| title_sort | fast neural networks digital beamformer based on slow genetic algorithm solutions |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
| url | http://hdl.handle.net/10356/3699 |
| work_keys_str_mv | AT wangyan fastneuralnetworksdigitalbeamformerbasedonslowgeneticalgorithmsolutions |