Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/403
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dc.contributor.authorMcDonnell, M.-
dc.contributor.authorStocks, N.-
dc.contributor.authorPearce, C.-
dc.contributor.authorAbbott, D.-
dc.date.issued2003-
dc.identifier.citationElectronics Letters, 2003; 39(17):1287-1288-
dc.identifier.issn0013-5194-
dc.identifier.issn1350-911X-
dc.identifier.urihttp://hdl.handle.net/2440/403-
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.language.isoen-
dc.publisherIEE-Inst Elec Eng-
dc.source.urihttp://dx.doi.org/10.1049/el:20030792-
dc.titleStochastic resonance and data processing inequality-
dc.typeJournal article-
dc.identifier.doi10.1049/el:20030792-
pubs.publication-statusPublished-
dc.identifier.orcidMcDonnell, M. [0000-0002-7009-3869]-
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]-
Appears in Collections:Applied Mathematics publications
Aurora harvest
Electrical and Electronic Engineering publications

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