Divergent Signal-to-Noise Ratio and Stochastic Resonance in Monostable Systems
classification
❄️ cond-mat
keywords
systemsratiosignal-to-noisemonostablenoiseresonancestochasticalways
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We present a class of systems for which the signal-to-noise ratio always increases when increasing the noise and diverges at infinite noise level. This new phenomenon is a direct consequence of the existence of a scaling law for the signal-to-noise ratio and implies the appearance of stochastic resonance in some monostable systems. We outline applications of our results to a wide variety of systems pertaining to different scientific areas. Two particular examples are discussed in detail.
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