Fisher information and noise-aided power estimation from one-bit quantizers
Digital Signal Processing
Stochastic resonance in sequential detectors
IEEE Transactions on Signal Processing
Noise enhanced nonparametric detection
IEEE Transactions on Information Theory
Stochastic resonance and improvement by noise in optimal detection strategies
Digital Signal Processing
Noise enhanced hypothesis-testing in the restricted Bayesian framework
IEEE Transactions on Signal Processing
Stochastic resonance in binary composite hypothesis-testing problems in the Neyman-Pearson framework
Digital Signal Processing
Stochastic resonance in locally optimal detectors
IEEE Transactions on Signal Processing
Noise Enhanced -ary Composite Hypothesis-Testing in the Presence of Partial Prior Information
IEEE Transactions on Signal Processing
Noise Benefits in Quantizer-Array Correlation Detection and Watermark Decoding
IEEE Transactions on Signal Processing
Effects of multiscale noise tuning on stochastic resonance for weak signal detection
Digital Signal Processing
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For the detection of a weak known signal in additive white noise, a generalized correlation detector is considered. In the case of a large number of measurements, an asymptotic efficacy is analytically computed as a general measure of detection performance. The derivative of the efficacy with respect to the noise level is also analytically computed. Positivity of this derivative is the condition for enhancement of the detection performance by increasing the level of noise. The behavior of this derivative is analyzed in various important situations, especially showing when noise-enhanced detection is feasible and when it is not.