Title :
An adaptive system identification method based on bispectrum
Author :
Alshebeili, Saleh A. ; Çetin, A. Enis ; Venetsanopoulos, A.N.
Author_Institution :
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
fDate :
8/1/1991 12:00:00 AM
Abstract :
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
Keywords :
adaptive systems; identification; least squares approximations; linear systems; adaptive identification technique; adaptive system identification method; bispectrum; higher order correlations; least mean square algorithm; linear system; nonminimum phase system; white non-Gaussian noise; Adaptive systems; Cepstrum; Fourier transforms; Higher order statistics; Least squares approximation; Linear systems; Polynomials; Signal processing algorithms; System identification; White noise;
Journal_Title :
Circuits and Systems, IEEE Transactions on
