Title :
A systolic array for nonlinear adaptive filtering and pattern recognition
Author :
Broomhead, D.S. ; Jones, R. ; McWhirter, J.G. ; Shepherd, T.J.
Author_Institution :
R. Signals & Radar Establ., Malvern, UK
Abstract :
A fully systolic network is proposed for rapid and efficient multidimensional fitting and interpolation using radial basis functions. The resulting processor, which constitutes a form of nonlinear adaptive filter, behaves like a neural network based on the multilayer, feedforward perception model. One application of such a network is as a pattern classifier
Keywords :
adaptive filters; interpolation; neural nets; pattern recognition; systolic arrays; feedforward perception model; interpolation; multidimensional fitting; neural network; nonlinear adaptive filtering; pattern classifier; pattern recognition; radial basis functions; systolic array; Adaptive filters; Equations; Interpolation; Least squares methods; Matrix decomposition; Multidimensional systems; Neural networks; Pattern recognition; Systolic arrays; Vectors;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112259
