Neural networks applied to wireless communications

This paper presents a time-delayed neural network (TDNN) model that has the capability of learning and predicting the dynamic behavior of nonlinear elements that compose a wireless communication system. This model could help speeding up system deployment by reducing modeling time. This paper present...

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Detalles Bibliográficos
Autores principales: Stegmayer Machado, Georgina S., Chiotti, Omar Juan Alfredo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2006
Materias:
Ciencias Informáticas
Neural nets
Wireless communication
time-delayed neural network (TDNN)
nonlinear elements
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23876
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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