An instrument for stochastic resonance detection

Stochastic resonance is widely used to explain interesting natural phenomena such as icing ages, and the behavior of some noise added nonlinear devices. A number of different approaches have been proposed both to characterize and to detect stochastic resonance conditions. Unfortunately they require both a complex analysis of available data and some kind of human judgment. In this paper an instrument for detection of the optimal working conditions is proposed. It does not require any human intervention and hence it represents an independent validation of theory of noise added systems.