Theory of controlling stochastic resonance Article Swipe
M. Löcher
,
Mario E. Inchiosa
,
Joseph Neff
,
Adi R. Bulsara
,
Kurt Wiesenfeld
,
L. Gammaitoni
,
Peter Hänggi
,
William L. Ditto
·
YOU?
·
· 2000
· Open Access
·
· DOI: https://doi.org/10.1103/physreve.62.317
YOU?
·
· 2000
· Open Access
·
· DOI: https://doi.org/10.1103/physreve.62.317
The concept of controlling stochastic resonance has been recently introduced [L. Gammaitoni et al., Phys. Rev. Lett. 82, 4574 (1999)] to enhance or suppress the spectral response to threshold-crossing events triggered by a time-periodic signal in background noise. Here, we develop a general theoretical framework, based on a rate equation approach. This generic two-state theory captures the essential features observed in our experiments and numerical simulations.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1103/physreve.62.317
- OA Status
- green
- Cited By
- 52
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2078283789
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W2078283789Canonical identifier for this work in OpenAlex
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https://doi.org/10.1103/physreve.62.317Digital Object Identifier
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Theory of controlling stochastic resonanceWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2000Year of publication
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2000-07-01Full publication date if available
- Authors
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M. Löcher, Mario E. Inchiosa, Joseph Neff, Adi R. Bulsara, Kurt Wiesenfeld, L. Gammaitoni, Peter Hänggi, William L. DittoList of authors in order
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https://doi.org/10.1103/physreve.62.317Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://opus.bibliothek.uni-augsburg.de/opus4/files/42320/42320.pdfDirect OA link when available
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Stochastic resonance, Statistical physics, Resonance (particle physics), Physics, Noise (video), SIGNAL (programming language), Quantum electrodynamics, Quantum mechanics, Computer science, Artificial intelligence, Image (mathematics), Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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52Total citation count in OpenAlex
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2021: 1, 2018: 1, 2017: 1, 2016: 1, 2015: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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