Self-tuning of threshold for a two-state system.
Self-tuning of threshold for a two-state system.
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DOI：
10.1103/physreve.75.056106
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发表时间：
2007-05
期刊：
影响因子：
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通讯作者：
Boyoung Seo;Raishma Krishnan;T. Munakata
中科院分区：
文献类型：
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作者：
Boyoung Seo;Raishma Krishnan;T. Munakata
研究了时间周期扰动下的双态系统（TSS）（可看作输入信号）与阈值自整定（ST）和随机共振（SR）的关系。通过ST，我们观察到在弱噪声区域信噪比（SNR）的改善。对调谐方程的解析方法表明，在大噪声区域也可以提高信噪比，并通过对TSS中跳频过程的蒙特卡罗模拟证明了这一点。从能量传递（耗散）率的物理角度来讨论ST和SR，其行为方式与信噪比相似。最后简要讨论了与TSS密切相关的双井势系统的ST。
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 an improvement of the signal-to-noise ratio (SNR) in a weak-noise region. An analytic approach to a tuning equation reveals that SNR improvement is possible also for the 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 view of the energy transfer (dissipation) rate, which behaves in a similar way as the SNR. Finally ST is considered briefly for a double-well potential system, which is closely related to the TSS.