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We present an effective way to generate the suitable or the optimal additive noises which can achieve the three goals of the noise enhanced detectability, i.e., the maximum detection probability (PD), the minimum false alarm probability (PFA) and the maximum overall improvement of PD and PFA, without increasing PFA and decreasing PD in a binary hypothesis testing problem. The mechanism of our method...
In this paper, the stochastic resonance (SR) effects of the fixed linear–quadratic (L–Q) detector in binary hypothesis testing problems is investigated. The effects include the improvement of the overall performance of the detector wherein the output signal-to-noise ratio (SNR) of receiver and the detection probability (PD) are increased and the false-alarm probability (PFA) is reduced at the same...
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