Antari J.,University Ibn Zohr |
Antari J.,Cadi Ayyad University |
El Khadimi A.,Institute National Des Postes Et Telecommunications Of Rabat |
Chabaa S.,Cadi Ayyad University |
And 2 more authors.
Physical and Chemical News | Year: 2011
In this paper we develop an algorithm based on moments of order two and three. This algorithm plays a fundamental role in identifying supervised nonlinear systems excited by non-Gaussian signal and zero mean. The validation of the algorithm is done using an adaptive method developed in the literature for different SNRs (SNR). Simulation results and comparison show that the algorithm developed is suitable and able to identify the parameters of nonlinear quadratic systems in excessively noisy in a way supervised.