论文信息 - Systolic array for nonlinear multidimensional interpolation using radial basis functions

Systolic array for nonlinear multidimensional interpolation using radial basis functions

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.

David S. Broomhead | Richard D. Jones | J. G. McWhirter | T. J. Shepherd

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