An Adaptive System Identification Method Based on Bispectrum

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An Adaptive System Identification Method Based on Bispectrum.pdf (218.64 KB)

Date

1991

Authors

Alshebeili, S.A.
Venetsanopoulos, A.N.
Enis Cetin, A.

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Abstract

This paper presents a new 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 and it is obtained by using the higher order correlations of the system output. © 1991 IEEE

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IEEE Transactions on Circuits and Systems

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Keywords

Computer Simulation, Mathematical Techniques - Least Squares Approximations, Mathematical Transformations - Fourier Transforms, Noise, Spurious Signal - White Noise, Spectrum Analysis, Adaptive Identification Technique, Least Mean Square Algorithm, Linear System Identification, Systems Science and Cybernetics

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http://hdl.handle.net/11693/26181

Published Version (Please cite this version)

http://dx.doi.org/10.1109/31.85642

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Scholarly Publications - Electrical and Electronics Engineering

Language

English

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Article