Information-Theoretic Bounds on Target Recognition Performance Based on Degraded Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Identification of commutative covariance structures by successive testing of statistical hypotheses
Automation and Remote Control
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Statistical inference is investigated under the following constraints on the covariance structure for the observation vector: covariance matrices belong to some commutative matrix algebra. Commutative approximation of arbitrary covariance structures and statistical estimation of the parameters of a given commutative structure are studied. The results are applied to statistical classification of Gaussian vectors having commutative covariance structure.