DocumentCode :
1125707
Title :
Systolic array for nonlinear multidimensional interpolation using radial basis functions
Author :
Broomhead, D.S. ; Jones, Roy ; McWhirter, John G. ; Shepherd, T.J.
Author_Institution :
R. Signals & Radar Establ., Malvern, UK
Volume :
26
Issue :
1
fYear :
1990
Firstpage :
7
Lastpage :
9
Abstract :
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.
Keywords :
adaptive filters; cellular arrays; computerised signal processing; interpolation; least squares approximations; neural nets; parallel architectures; speech analysis and processing; feedforward perceptron; multilayer perceptron model; neural network; nonlinear adaptive filter; nonlinear multidimensional interpolation; nonlinear perceptron; radial basis functions; systolic network;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19900005
Filename :
44842
Link To Document :
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