title: Gaussian filters and filter synthesis using a Hermite/Laguerre neural network.
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 of ten in the signal-to-noise ratio. A higher order Gaussian filter was synthesized by combining several Hermite functions together.
authors.forename: Mark
authors.initials: M
authors.lastname: Mackenzie
authors.forename: Kiet
authors.initials: K
authors.lastname: Tieu
mesh_terms: D016571:Neural Networks, Computer; D016011:Normal Distribution