Interference cancellation using radial basis function networks

2 January 2003

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 47 (3) , 221-224
https://doi.org/10.1109/ssap.1992.246809

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

INTERFERENCE CANCELLATION
RADIAL BASIS FUNCTION NETWORKS
LEAST SQUARES APPROXIMATION
SIGNAL PROCESSING ALGORITHMS
ROBUSTNESS
STOCHASTIC PROCESSES
ZINC
DEGRADATION
ADAPTIVE SIGNAL PROCESSING
VECTORS

This publication has 1 reference indexed in Scilit:

Reconstruction of binary signals using an adaptive radial-basis-function equalizer
Signal Processing, 1991