Title :
On the cross-correlation function of a nonlinear network
Author_Institution :
Université de Sherbrooke, Sherbrooke, Quebec, Canada
Abstract :
It is shown that the shape of the cross-correlation function of a nonlinear network consisting of the cascade connection of a linear network, a memoryless nonlinearity (NL) and a second linear network is independent, in the Gaussian case, of the presence of NL only when NL is not even. An explicit expression for the cross-correlation function of such a system is then given.
Keywords :
Autocorrelation; Equations; Function approximation; Impurities; Integrated circuit technology; Linear systems; Physics; Semiconductor devices; Shape; Surface fitting;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/PROC.1977.10786
