Relations between Time Domain and Frequency Domain Prediction Error Methods

نویسنده

  • Tomas McKelvey
چکیده

Prediction error techniques for joint identification of parametric transfer functions and noise models from measured data are considered. The time domain and frequency domain prediction error methods are presented and compared and their close connection with corresponding maximum-likelihood method is explored. Conditions are established under which the two techniques are asymptotically equivalent.

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تاریخ انتشار 2011