论文信息 - Narrowband incoherent threshold detection in non-additive Markov noise

Narrowband incoherent threshold detection in non-additive Markov noise

Abstract The locally optimum Bayes narrowband incoherent detector in non-additive non-Gaussian noise is derived in the realistic case where the observed samples are modelled by a first-order ergodic Markov chain. Its performance is described by the probabilities of error and of correct decision.

Andreas M. Maras | Evangelos A. Kokkinos

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