Alshebeili, S.A.Venetsanopoulos, A.N.Enis Cetin, A.2016-02-082016-02-0819910098-4094http://hdl.handle.net/11693/26181This 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 IEEEEnglishComputer SimulationMathematical Techniques - Least Squares ApproximationsMathematical Transformations - Fourier TransformsNoise, Spurious Signal - White NoiseSpectrum AnalysisAdaptive Identification TechniqueLeast Mean Square AlgorithmLinear System IdentificationSystems Science and CyberneticsArticle10.1109/31.85642