Gaussian filters and filter synthesis using a Hermite/Laguerre neural network

Authors

M. Mackenzie, University of Wollongong
K. Tieu, University of WollongongFollow

RIS ID

10657

Publication Details

This article was originally published as: Mackenzie, M and Tieu, K, Gaussian filters and filter synthesis using a Hermite/Laguerre neural network, IEEE Transactions on Neural Networks, January 2004, 15(1), 206-214. Copyright IEEE 2004.

Abstract

A neural network for calculating the correlation of a signal with a Gaussian function is described. The network behaves as a Gaussian filter and has two outputs: the first approximates the noisy signal and the second represents the filtered signal. The filtered output provides improvement by a factor often in the signal-to-noise ratio. A higher order Gaussian filter was synthesized by combining several Hermite functions together.