Abstract
The article considers a highly general linear identification problem for an unknown vector parameter from output observations. The main focus is on sufficiency of a finite number of observations of the output signal for unique estimation of the unknown vector parameter. Two general sufficient conditions are obtained, ensuring unique computability of the unknown vector parameter from finitely many observations of the output signal.
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