Hermite neural network correlation and application
Mark R. Mackenzie, Anh Kiet Tieu · IEEE Transactions on Signal Processing · 2003
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.