A real valued neural network based autoregressive energy
detector for cognitive radio application

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A real valued neural network based autoregressive energy detector for cognitive radio application

A real valued neural network (RVNN) based energy detector (ED) is proposed and analyzed for cognitive radio (CR) application. This was developed using a known two-layered RVNN model to estimate the model coefficients of an autoregressive (AR) system. By using appropriate modules and a well-designe...

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Bibliographic Details
Main Authors:	Onumanyi, A. J., Onwuka, E. N., Aibinu, A. M., Ugweje, O. C., Salami, Momoh Jimoh Emiyoka
Format:	Article
Language:	English
Published:	Hindawi 2014
Subjects:	TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/30199/ http://irep.iium.edu.my/30199/1/AdeizaPaper.pdf

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