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通过随机共振增强信号检测的费希尔信息条件。

Fisher-information condition for enhanced signal detection via stochastic resonance.

作者信息

Duan Fabing, Chapeau-Blondeau François, Abbott Derek

机构信息

Department of Automation Engineering, Qingdao University, Qingdao 266071, PR China.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Nov;84(5 Pt 1):051107. doi: 10.1103/PhysRevE.84.051107. Epub 2011 Nov 11.

DOI:10.1103/PhysRevE.84.051107
PMID:22181369
Abstract

Various situations where a signal is enhanced by noise through stochastic resonance are now known. This paper contributes to determining general conditions under which improvement by noise can be a priori decided as feasible or not. We focus on the detection of a known signal in additive white noise. Under the assumptions of a weak signal and a sufficiently large sample size, it is proved, with an inequality based on the Fisher information, that improvement by adding noise is never possible, generically, in these conditions. However, under less restrictive conditions, an example of signal detection is shown with favorable action of adding noise.

摘要

目前已知在各种情况下,通过随机共振,噪声会增强信号。本文有助于确定一般条件,在这些条件下,可以事先判定噪声增强是否可行。我们专注于在加性白噪声中检测已知信号。在弱信号和足够大样本量的假设下,基于费希尔信息的不等式证明,在这些条件下,一般来说,添加噪声不可能实现增强。然而,在限制较少的条件下,给出了一个信号检测的例子,其中添加噪声具有有利作用。

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