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Noise enhanced detection in the restricted Bayesian framework
Effects of additive independent noise are investigated for sub-optimal detectors according to the restricted Bayes criterion. The statistics of optimal additive noise are characterized. Also, sufficient conditions for ...
Stochastic resonance in binary composite hypothesis-testing problems in the Neyman-Pearson framework
Performance of some suboptimal detectors can be enhanced by adding independent noise to their inputs via the stochastic resonance (SR) effect. In this paper, the effects of SR are studied for binary composite hypothesis-testing ...
Effects of additional independent noise in binary composite hypothesis-testing problems
Performance of some suboptimal detectors can be improved by adding independent noise to their observations. In this paper, the effects of adding independent noise to observations of a detector are investigated for binary ...
Noise-enhanced M-ary hypothesis-testing in the minimax framework
In this study, the effects of adding independent noise to observations of a suboptimal detector are studied for M-ary hypothesis-testing problems according to the minimax criterion. It is shown that the optimal additional ...