Machine learning algorithms for cognitive radio wireless networks

In this thesis new methods are presented for achieving spectrum sensing in cognitive radio wireless networks. In particular, supervised, semi-supervised and unsupervised machine learning based spectrum sensing algorithms are developed and various techniques to improve their performance are described...

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Bibliographic Details

Main Author:	Olusegun P. Awe
Format:	Default Thesis
Published:	2015
Subjects:	Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/19609
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