Divergent signal-to-noise ratio and stochastic resonance in monostable systems

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 reso...

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Detalles Bibliográficos
Autores: Vilar, J. M. G. (José M. G.), 1972-, Rubí Capaceti, José Miguel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:1996
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/13174
Acceso en línea:https://hdl.handle.net/2445/13174
Access Level:acceso abierto
Palabra clave:Termodinàmica
Mecànica estadística
Thermodynamics
Statistical mechanics
Descripción
Sumario: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.