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On detection of Gaussian stochastic sequences
Published 22 Feb 2018 in cs.IT and math.IT | (1802.07940v1)
Abstract: The problem of minimax detection of Gaussian random signal vector in White Gaussian additive noise is considered. It is supposed that an unknown vector $\boldsymbol{\sigma}$ of the signal vector intensities belong to the given set ${\mathcal E}$. It is investigated when it is possible to replace the set ${\mathcal E}$ by a smaller set ${\mathcal E}{0}$ without loss of quality (and, in particular, to replace it by a single point $\boldsymbol{\sigma}{0}$).
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