An adaptive system identification method based on bispectrum

The author presents an adaptive technique for the identification of a linear system driven by white non-Gaussian noise. The system can be a non-minimum phase system. The adaptive identification technique is a least-mean-square (LMS) type algorithm. It is obtained by using the higher order correlations of the system output.<>