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Estimation with Unknown Noise Model - Standard Solutions

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2 Author(s)

This chapter contains sections titled:
Introduction
Discussion of the Disturbing Noise Assumptions
Properties of the ML Estimator Using a Sample Covariance Matrix
Properties of the GTLS Estimator Using a Sample Covariance Matrix
Properties of the BTLS Estimator Using a Sample Covariance Matrix
Properties of the SUB Estimator Using a Sample Covariance Matrix
Identification in the Presence of Nonlinear Distortions
Illustration and Overview of the Properties
Identification of Parametric Noise Models
Identification in Feedback
Appendixes