RIS ID
8998
Abstract
A method for obtaining the correlation of two Hermite neural networks is developed. The method is based on the fact that a Hermite function is unchanged by the Fourier transform, which allows an expression for the correlation to be obtained directly from the network weights without the need for the Fourier transform. Comparative results with other neural network correlation methods are presented on simulated radar signals.
Publication Details
This article was originally published as: Mackenzie, M and Tieu, K, Hermite neural network correlation and application, IEEE Transactions on Signal Processing, December 2003, 51(12), 3210-3219. Copyright IEEE 2003.