Title :
An adaptive system identification method on bispectrum
Author :
Alshebeili, Saleh ; Cetin, A. Enis ; Venetsanopoulos, A.N.
Author_Institution :
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
Abstract :
An adaptive technique for the identification of a linear system which is driven by white non-Gaussian noise is proposed. The system can be a nonminimum phase system. The adaptive identification technique is a least-mean-square type algorithm, and it is obtained by using the higher order cumulants of the system output. A simulation example is given
Keywords :
adaptive systems; identification; linear systems; signal processing; white noise; adaptive system identification; bispectrum; least-mean-square type algorithm; linear system; noise driven system; nonminimum phase system; simulation; white nonGaussian noise; Adaptive systems; Additive noise; Cepstral analysis; Cepstrum; Fourier transforms; Least squares approximation; Polynomials; Random processes; System identification; Two dimensional displays;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112677
