Producción CyT
Artículo
Autoría
Fecha
2005
Editorial y Lugar de Edición
Springer Verlag
Revista
LECTURE NOTES IN COMPUTER SCIENCE,
vol. 3697
(pp. 465-471)
Springer Verlag
Resumen
Información suministrada por el agente en
SIGEVA
In this paper, a new method is introduced for the identification of a Volterra model for the representation of a nonlinear electronic device in the frequency domain. The Volterra model is a numerical series with some particular terms named kernels. Our proposal is the use of feedforward neural networks (FNN) for the modeling of the nonlinearities in the device behavior, and a special procedure which uses the neural networks parameters for the kernels identification. The proposed procedure has b...
In this paper, a new method is introduced for the identification of a Volterra model for the representation of a nonlinear electronic device in the frequency domain. The Volterra model is a numerical series with some particular terms named kernels. Our proposal is the use of feedforward neural networks (FNN) for the modeling of the nonlinearities in the device behavior, and a special procedure which uses the neural networks parameters for the kernels identification. The proposed procedure has been tested with simulation data from a class “A” Power Amplifier (PA) which validate our approach.
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