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The Deterministic Circuit Model for Noise Influenceon the Averaged Transient Responses of Large-scaleNonlinear ICs Analyzed with It?'s StochasticDifferential Equations

机译:噪声对大型非线性IC平均瞬态响应影响的确定性电路模型及其随机微分方程分析

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The second-order nonrandom ordinary differential equation (ODE) system derived asthe noise-source-aware model for expectations of solutions of It?'s stochasticdifferential equation (ISDE) system is discussed in connection with large-scaleintegrated circuits (ICs). The work explains the reason why the new model consistentlyallows for the noise-induced phenomena in the expectations, namely, stochasticresonance, stochastic linearization, stochastic self-oscillations and stochastic chaos. Thecase of stochastic resonance is considered as an example. In spite of the fact that theabove second-order model is more complex than the nonrandom first-order IC ODEsystem for the expectations commonly used in engineering, an efficient practicaltechnique for its implementation is proposed. The corresponding predicted computingtime is only in 2.5 times greater than in the case of the first-order model which does notinclude any noise-source influence upon the expectations of the modelled IC responses.
机译:结合大规模集成电路(IC),讨论了基于二阶非随机常微分方程(ODE)系统作为噪声源模型,期望获得It?随机微分方程(ISDE)系统的解决方案。这项工作解释了为什么新模型始终允许期望中的噪声诱发现象的原因,即随机共振,随机线性化,随机自振荡和随机混沌。以随机共振的情况为例。尽管对于工程中常用的期望,上述二阶模型比非随机一阶IC ODE系统更为复杂,但仍提出了一种有效的实用技术。相应的预测计算时间仅比一阶模型的情况大2.5倍,后者不包括对模拟IC响应的期望值产生任何噪声源的影响。

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