Time series: theory and methods
Time series: theory and methods
Detection of Narrowband Random Signals via Spectrum Matching
MWSCAS '98 Proceedings of the 1998 Midwest Symposium on Systems and Circuits
Stochastic resonance in discrete time nonlinear AR(1) models
IEEE Transactions on Signal Processing
Erratum: Stochastic resonance in discrete time nonlinear AR(1)models
IEEE Transactions on Signal Processing
Stochastic resonance for an optimal detector with phase noise
Signal Processing
Design of detectors based on stochastic resonance
Signal Processing
Nonlinear signal detection from an array of threshold devices for non-Gaussian noise
Digital Signal Processing
Perturbative corrections to stochastic resonant quantizers
Signal Processing - Special section: Distributed source coding
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
An adaptive stochastic-resonance-based detector and its application in watermark extraction
WSEAS Transactions on Signal Processing
Stochastic resonance in binary composite hypothesis-testing problems in the Neyman-Pearson framework
Digital Signal Processing
Effects of multiscale noise tuning on stochastic resonance for weak signal detection
Digital Signal Processing
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This paper deals with the use of stochastic resonance (SR) for detection purposes. The nonlinear physical phenomenon of SR generally occurs in dynamical bistable systems excited by a noisy sine: such systems are able to force cooperation between sine and noise such that the noise amplifies the sine. Because of this non-intuitive effect, the use of SR can be envisaged to detect small amplitude sines corrupted by additive noise. In this paper we recall some basics of detection and then show why SR can be used in sine detection context. After recalling some basics of SR in discrete time, we show how to use SR in a detection scheme.