Properties of the Hermite Activation Functions in a Neural Approximation Scheme
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International Journal of Knowledge Engineering and Soft Data Paradigms
UWB pulse shaping filter design using Hermite Rodriquez functions
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Spectrally efficient waveform set design for UWB wireless communications
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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.