Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/403
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Type: Journal article
Title: Stochastic resonance and data processing inequality
Author: McDonnell, M.
Stocks, N.
Pearce, C.
Abbott, D.
Citation: Electronics Letters, 2003; 39(17):1287-1288
Publisher: IEE-Inst Elec Eng
Issue Date: 2003
ISSN: 0013-5194
Statement of
Responsibility: 
M.D. McDonnell, N.G. Stocks, C.E.M. Pearce and D. Abbott
Abstract: The 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
Description: © Institution of Engineering and Technology
RMID: 0020030424
DOI: 10.1049/el:20030792
Appears in Collections:Applied Mathematics publications
Electrical and Electronic Engineering publications

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