DocumentCode
780584
Title
Stochastic resonance and data processing inequality
Author
McDonnell, M.D. ; Stocks, N.G. ; Pearce, C.E.M. ; Abbott, D.
Author_Institution
Centre for Biomed. Eng., Univ. of Adelaide, SA, Australia
Volume
39
Issue
17
fYear
2003
Firstpage
1287
Lastpage
1288
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 periodic input signals.
Keywords
channel capacity; information theory; noise; probability; resonance; stochastic processes; SNR gains; data processing inequality; information theory; nonlinear systems; periodic input signals; signal to noise ratio gains; stochastic resonance;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20030792
Filename
1231329
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