Stochastic system identification with noisy input-output measurements using polyspectra

Two new classes of parametric, frequency domain approaches are proposed for estimation of the parameters of scalar, linear "errors-in-variables" models, i.e., linear systems where measurements of both input and output of the system are noise contaminated. One of the proposed classes of app...

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Bibliographische Detailangaben

Hauptverfasser:	Tugnait, J.K., Yisong Ye
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Equations Frequency domain analysis Frequency estimation Frequency measurement Linear systems Noise measurement Parameter estimation Pollution measurement Stochastic systems Transfer functions
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