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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-designed...
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Publicado no: | Int Sch Res Notices |
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Main Authors: | , , , , |
Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
Hindawi Publishing Corporation
2014
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Assuntos: | |
Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4897321/ https://ncbi.nlm.nih.gov/pubmed/27379318 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/579125 |
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