Stochastic resonance and data processing inequality
Date
2003
Authors
McDonnell, M.
Stocks, N.
Pearce, C.
Abbott, D.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Electronics Letters, 2003; 39(17):1287-1288
Statement of Responsibility
M.D. McDonnell, N.G. Stocks, C.E.M. Pearce and D. Abbott
Conference Name
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
School/Discipline
Dissertation Note
Provenance
Description
© Institution of Engineering and Technology