Adaptive stochastic resonance for unknown and variable input signals

Abstract 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...

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Bibliographic Details
Main Authors: Patrick Krauss, Claus Metzner, Achim Schilling, Christian Schütz, Konstantin Tziridis, Ben Fabry, Holger Schulze
Format: Article
Language:English
Published: Nature Publishing Group 2017-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-02644-w