An Adaptive System Identification Method Based on Bispectrum
Date
1991
Authors
Alshebeili, S.A.
Venetsanopoulos, A.N.
Enis Cetin, A.
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Source Title
IEEE Transactions on Circuits and Systems
Print ISSN
0098-4094
Electronic ISSN
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Volume
38
Issue
8
Pages
967 - 969
Language
English
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Journal Title
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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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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