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

Authors:
M. Mackenzie;K. Tieu
Affiliations:
Dept. of Mech. Eng., Wollongong Univ., NSW, Australia;-
Venue:
IEEE Transactions on Neural Networks
Year:
2004

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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.