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arxiv: 1010.0505 · v1 · pith:5GVNYBYYnew · submitted 2010-10-04 · ❄️ cond-mat.stat-mech

Self-tuning of threshold for a two-state system

classification ❄️ cond-mat.stat-mech
keywords systemimprovementnoiseregionself-tuningthresholdtwo-stateanalytic
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A two-state system (TSS) under time-periodic perturbations (to be regarded as input signals) is studied in connection with self-tuning (ST) of threshold and stochastic resonance (SR). By ST, we observe the improvement of signal-to-noise ratio (SNR) in a weak noise region. Analytic approach to a tuning equation reveals that SNR improvement is possible also for a large noise region and this is demonstrated by Monte Carlo simulations of hopping processes in a TSS. ST and SR are discussed from a little more physical point of energy transfer (dissipation) rate, which behaves in a similar way as SNR. Finally ST is considered briefly for a double-well potential system (DWPS), which is closely related to the TSS.

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