Detection of Unmodeled Nonlinearities Using Correlation Methods

This paper concerns the validation of linear models with respect to unmodeled nonlinearities. Two versions of a method for nonlinearity detection based on estimators of higher order cross-correlations are described and evaluated. Unlike many existing approaches, the proposed method seems to be applicable to a wide range of systems and input signals. It can also distinguish between even and odd nonlinearities.