Adaptive stochastic resonance for unknown and variable input signals

All sensors have a threshold, defined by the smallest signal amplitude that can be detected. The detection of sub-threshold signals, however, is possible by using the principle of stochastic resonance, where noise is added to the input signal so that it randomly exceeds the sensor threshold. The cho...

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Detalles Bibliográficos
Autores principales: Krauss, Patrick, Metzner, Claus, Schilling, Achim, Schütz, Christian, Tziridis, Konstantin, Fabry, Ben, Schulze, Holger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446399/
https://www.ncbi.nlm.nih.gov/pubmed/28550314
http://dx.doi.org/10.1038/s41598-017-02644-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446399/
https://www.ncbi.nlm.nih.gov/pubmed/28550314
http://dx.doi.org/10.1038/s41598-017-02644-w

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