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Systolic array for nonlinear multidimensional interpolation using radial basis functions

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4 Author(s)
D. S. Broomhead ; R. Signals & Radar Establ., Malvern, UK ; R. Jones ; J. G. McWhirter ; T. J. Shepherd

A fully systolic network is proposed for rapid and efficient multidimensional interpolation using radial basis functions (RBFs). The resulting processor, which constitutes a form of nonlinear adaptive filter, resembles a neural network based on the nonlinear, feedforward, multilayer perceptron model.

Published in:

Electronics Letters  (Volume:26 ,  Issue: 1 )