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-designed...

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Detalles Bibliográficos
Autores principales: Onumanyi, A. J., Onwuka, E. N., Aibinu, A. M., Ugweje, O. C., Salami, M. J. E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897321/
https://www.ncbi.nlm.nih.gov/pubmed/27379318
http://dx.doi.org/10.1155/2014/579125

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897321/
https://www.ncbi.nlm.nih.gov/pubmed/27379318
http://dx.doi.org/10.1155/2014/579125

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