Elimination of the effect of nonlinearities on process crosscorrelations
An analysis is presented which shows how the small-signal gain of a continuous single-valued nonlinear process can be derived from large-signal crosscorrelations. In particular, it is shown how the technique can be used to overcome difficulties that arise when identifying nonlinear processes with a pseudorandom binary-sequence input.
