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Robust detection of signals in dependent noise

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2 Author(s)

The robust detection of signals in additive dependent noise is considered. The solution to the finite-sample problem is obtained when the Bayes risk is used as the performance measure. For the multivariate densities involved we assume that they belong to an e-contamination model. The robust detection structure is shown to be optimum for the least-favorable density and is a censored version of the nominal likelihood ratio.

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Information Theory, IEEE Transactions on  (Volume:33 ,  Issue: 1 )