Literature DB >> 22181369

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

Fabing Duan1, François Chapeau-Blondeau, Derek Abbott.   

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.

Mesh:

Year:  2011        PMID: 22181369     DOI: 10.1103/PhysRevE.84.051107

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  4 in total

1.  Fisher information as a metric of locally optimal processing and stochastic resonance.

Authors:  Fabing Duan; François Chapeau-Blondeau; Derek Abbott
Journal:  PLoS One       Date:  2012-04-06       Impact factor: 3.240

2.  Stochastic resonance with colored noise for neural signal detection.

Authors:  Fabing Duan; François Chapeau-Blondeau; Derek Abbott
Journal:  PLoS One       Date:  2014-03-14       Impact factor: 3.240

3.  Weak-periodic stochastic resonance in a parallel array of static nonlinearities.

Authors:  Yumei Ma; Fabing Duan; François Chapeau-Blondeau; Derek Abbott
Journal:  PLoS One       Date:  2013-03-11       Impact factor: 3.240

4.  Generalized Parameter-Adjusted Stochastic Resonance of Duffing Oscillator and Its Application to Weak-Signal Detection.

Authors:  Zhi-Hui Lai; Yong-Gang Leng
Journal:  Sensors (Basel)       Date:  2015-08-28       Impact factor: 3.576

  4 in total

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