The paper deals with the identification of even mirror Fourier nonlinear filters.

It shows that perfect periodic sequences (PPSs) can be developed for these filters.

Nonlinear systems can be efficiently modeled with cross-correlation method using PPSs.

The most relevant basis functions can be estimated using an information criterion.

Experimental results on real nonlinear systems illustrate the proposed approach.