An adaptive system identification method based on bispectrum

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 correlatio...

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Veröffentlicht in:IEEE transactions on circuits and systems 1991-08, Vol.38 (8), p.967-969
Hauptverfasser: Alshebeili, S.A., Cetin, A.E., Venetsanopoulos, A.N.
Format: Artikel
Sprache:eng
Schlagworte:
Adaptive systems
Applied sciences
Cepstrum
Computer science
control theory
systems
Control theory. Systems
Exact sciences and technology
Fourier transforms
Higher order statistics
Least squares approximation
Linear systems
Modelling and identification
Polynomials
Signal processing algorithms
System identification
White noise
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Zusammenfassung: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.< >
ISSN:0098-4094
1558-1276
DOI:10.1109/31.85642