Abstract
Abstract This paper deals with identification of noise covariance matrices of a dynamic system described by a linear discrete-in-time time-invariant stochastic state-space model. In particular, the parametric identifiability of the correlations methods is analysed and explicit relations for determination of a number of identifiable noise covariance matrices parameters are stated. The theoretical results are thoroughly discussed and illustrated.
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