Optimal Noise Benefits in Neyman–Pearson and Inequality-Constrained Statistical Signal Detection
نویسندگان
چکیده
منابع مشابه
Optimal Noise Benefits in Neyman-pearson and Inequality-constrained Statistical Signal Detection
We present theorems and an algorithm to find optimal or near-optimal “stochastic resonance” (SR) noise benefits for Neyman-Pearson hypothesis testing and for more general inequality-constrained signal detection problems. The optimal SR noise distribution is just the randomization of two noise realizations when the optimal noise exists for a single inequality constraint on the average cost. The ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2009
ISSN: 1053-587X,1941-0476
DOI: 10.1109/tsp.2009.2012893