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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/70041
Title: 
Radial basis function network applied to the linearization of a voltage controlled oscillator
Author(s): 
Institution: 
Universidade Estadual Paulista (UNESP)
Abstract: 
An analog circuit that implements a radial basis function network is presented. The proposed circuit allows the adjustment of all shape parameters of the radial functions, i.e., amplitude, center and width. The implemented network was applied to the linearization of a nonlinear circuit, a voltage controlled oscillator (VCO). This application can be classified as an open-loop control in which the network plays the role of the controller. Experimental results have proved the linearization capability of the proposed circuit. Its performance can be improved by using a network with more basis functions. Copyright 2007 ACM.
Issue Date: 
1-Dec-2007
Citation: 
Proceedings - SBCCI 2007: 20th Symposium on Integrated Circuits and System Design, p. 230-235.
Time Duration: 
230-235
Keywords: 
  • Artificial neural networks
  • Linearization
  • Operational transconductance amplifier
  • Radial basis function
  • VCO
  • Radial functions
  • Amplifiers (electronic)
  • Analog circuits
  • Parameter estimation
  • Radial basis function networks
  • Variable frequency oscillators
Source: 
http://dx.doi.org/10.1145/1284480.1284543
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/70041
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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