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• W2318602020 abstract "In the study of stochastic resonance, it is often mentioned that nonlinearity can enhance a weak signal embedded in noise. In order to give a systematic proof of the signal enhancement in nonlinear systems, we derive an optimal nonlinearity that maximizes a signal-to-noise ratio (SNR). The obtained optimal nonlinearity yields the maximum unbiased signal estimation performance, which is known in the context of information theory. It is found that a linear system is optimal for a Gaussian noise, but for a non-Gaussian noise, there exist nonlinear systems that can achieve an SNR higher than that obtained from linear systems. This analysis refers to a system subjected to an additive non-Gaussian noise with a small signal input." @default.
• W2318602020 created "2016-06-24" @default.
• W2318602020 creator A5042931306 @default.
• W2318602020 creator A5068152560 @default.
• W2318602020 date "2013-01-18" @default.
• W2318602020 modified "2023-09-25" @default.
• W2318602020 title "Relation between optimal nonlinearity and non-Gaussian noise: Enhancing a weak signal in a nonlinear system" @default.
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• W2318602020 doi "https://doi.org/10.1103/physreve.87.012124" @default.
• W2318602020 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23410300" @default.
• W2318602020 hasPublicationYear "2013" @default.
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