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|Title:||Fast neural networks digital beamformer based on slow genetic algorithm solutions||Authors:||Wang, Yan.||Keywords:||DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems||Issue Date:||2003||Abstract:||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.||URI:||http://hdl.handle.net/10356/3699||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
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