On the cross-correlation function of a nonlinear network
Michael Rudko · Proceedings of the IEEE · 1977
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.