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