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Coupled detection- estimation of Gaussian processes in Gaussian noise

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2 Author(s)

This paper considers the joint detection and estimation of Gauss-Markov processes in white Gaussian noise, where the operations of detection and estimation are strongly coupled. Explicit Bayes' optimal recursive estimation and detection rules are derived, and it is shown that the resulting optimal receiver is amenable to a causal estimator-correlator-type interpretation.

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Information Theory, IEEE Transactions on  (Volume:18 ,  Issue: 1 )