Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/3699
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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