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A state-space description for perfect-reconstruction wavelet FIR filter banks with special orthonormal basis functions
(2015-06-15)
This paper presents a state space description for wavelet FIR filter banks with perfect reconstruction using special orthonormal basis functions. The FIR structure guarantees the BIBO stability, robustness and improves the ...
Multinodal Load Forecasting in Power Electric Systems using a Neural Network with Radial Basis Function
(Trans Tech Publications Ltd, 2011-01-01)
In this paper we present the results of the use of a methodology for multinodal load forecasting through an artificial neural network-type Multilayer Perceptron, making use of radial basis functions as activation function ...
Polynomial expansion of basis sets: Alternatives to fully optimized exponents
(Elsevier Science BvAmsterdamHolanda, 2006)
A MONOMIAL BASIS FOR THE HOLOMORPHIC FUNCTIONS ON c(0)
(Amer Mathematical SocProvidenceEUA, 2013)
Radial basis function networks with quantized parameters
(2008-09-30)
A RBFN implemented with quantized parameters is proposed and the relative or limited approximation property is presented. Simulation results for sinusoidal function approximation with various quantization levels are shown. ...
Radial basis function networks with quantized parameters
(2008-09-30)
A RBFN implemented with quantized parameters is proposed and the relative or limited approximation property is presented. Simulation results for sinusoidal function approximation with various quantization levels are shown. ...
Radial Basis Functions for Phase Unwrapping
(Revista Computación y Sistemas; Vol. 14 No. 2, 2010-12-15)
Abstract. An important step in fringe pattern analysis is the
so called phase unwrapping. Although this task can be
performed easily using path dependent algorithms, most
times, however, these algorithms are not robust ...
An analog implementation of radial basis function network appropriate for transducer linearizer
(IEEE, 1999-01-01)
A circuit for transducer linearizer tasks have been designed and built using discrete components and it implements by: a Radial Basis Function Network (RBFN) with three basis functions. The application in a linearized ...
RBF circuits based on folded cascode differential pairs
(2008-12-01)
We propose new circuits for the implementation of Radial Basis Functions such as Gaussian and Gaussian-like functions. These RBFs are obtained by the subtraction of two differential pair output currents in a folded cascode ...