We propose a universal, asymptotically optimum decision rule for deciding whether or not an observed sequence generated at the output of an unknown finite-state channel corresponds to a given channel-input message. The hypothesized message is tested against a certain alternative message or several alternative messages under the Neyman-Pearson criterion.
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Neri Merhav (2000) studied this question.
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