Stochastic resonance and data processing inequality

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dc.contributor.authorMcDonnell, M.
dc.contributor.authorStocks, N.
dc.contributor.authorPearce, C.
dc.contributor.authorAbbott, D.
dc.date.issued2003
dc.description© Institution of Engineering and Technology
dc.description.abstractThe data processing inequality of information theory proves that no more information can be obtained out of a set of data than was there to begin with. However, many papers in the field of stochastic resonance report signal to noise ratio gains in some nonlinear systems due to the addition of noise. Such an observation appears on the surface to contradict the data processing inequality. It is demonstrated that the data processing inequality is upheld for the case of a periodic input signals
dc.description.statementofresponsibilityM.D. McDonnell, N.G. Stocks, C.E.M. Pearce and D. Abbott
dc.identifier.citationElectronics Letters, 2003; 39(17):1287-1288
dc.identifier.doi10.1049/el:20030792
dc.identifier.issn0013-5194
dc.identifier.issn1350-911X
dc.identifier.orcidMcDonnell, M. [0000-0002-7009-3869]
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]
dc.identifier.urihttp://hdl.handle.net/2440/403
dc.language.isoen
dc.publisherIEE-Inst Elec Eng
dc.source.urihttps://doi.org/10.1049/el:20030792
dc.titleStochastic resonance and data processing inequality
dc.typeJournal article
pubs.publication-statusPublished

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