Identification of Wiener state–space models utilizing Gaussian sum smoothing

In this paper, we address the problem of system identification for Wiener state-space models. Our approach is based on the Maximum Likelihood method and the Expectation-Maximization algorithm. In the problem of interest, we model the output nonlinearity a