DocumentCode
3381923
Title
Interference cancellation using radial basis function networks
Author
Cha, Inhyok ; Kassam, Saleem A.
Author_Institution
Dept. of Electr. Eng., Pennsylvania Univ., Philadelphia, PA, USA
fYear
1992
fDate
7-9 Oct 1992
Firstpage
221
Lastpage
224
Abstract
The radial basis function (RBF) network is investigated for its applicability in adaptive interference cancellation problems. Simulations show that the RBF network can be quite useful in this application. An extended structure that combines a linear canceller with an RBF network is shown to be more robust than the structure using an RBF network only
Keywords
adaptive filters; feedforward neural nets; interference suppression; signal processing; adaptive interference cancellation; extended structure; linear canceller; radial basis function networks; simulations; Adaptive signal processing; Degradation; Interference cancellation; Least squares approximation; Radial basis function networks; Robustness; Signal processing algorithms; Stochastic processes; Vectors; Zinc;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-0508-6
Type
conf
DOI
10.1109/SSAP.1992.246809
Filename
246809
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