Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Detection of Signals in Noise
On the use of stochastic resonance in sine detection
Signal Processing
Stochastic resonance in discrete time nonlinear AR(1) models
IEEE Transactions on Signal Processing
Nonlinear signal detection from an array of threshold devices for non-Gaussian noise
Digital Signal Processing
Fisher information and noise-aided power estimation from one-bit quantizers
Digital Signal Processing
Nonlinear statistics to improve signal detection in generalized Gaussian noise
Digital Signal Processing
Stochastic resonance in sequential detectors
IEEE Transactions on Signal Processing
Stochastic resonance and improvement by noise in optimal detection strategies
Digital Signal Processing
Delay, noise, and resonance: human balancing and temporal non-locality
Artificial Life and Robotics
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A stochastic resonance effect, under the form of a noise-improved performance, is shown possible for an optimal detector. This is established with a nonlinear signal-noise mixture where the noise acts on the phase of a periodic signal. The optimal detector, achieving minimal probability of detection error, is explicitly derived. Conditions are exhibited where this minimal probability of error is reduced when the noise level is raised. These results contribute a new step in the investigation of stochastic resonance and in the inventory of its potentialities for nonlinear signal processing.