Fast neural networks digital beamformer based on slow genetic algorithm solutions

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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Main Author: Wang, Yan.
Other Authors: Lu, Yilong
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:http://hdl.handle.net/10356/3699
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-3699
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spelling sg-ntu-dr.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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
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
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.
author2 Lu, Yilong
author_facet Lu, Yilong
Wang, Yan.
format Theses and Dissertations
author Wang, Yan.
author_sort Wang, Yan.
title 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_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_sort fast neural networks digital beamformer based on slow genetic algorithm solutions
publishDate 2008
url http://hdl.handle.net/10356/3699
_version_ 1772825248648921088

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