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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Main Authors: | Patrick Krauss, Claus Metzner, Achim Schilling, Christian Schütz, Konstantin Tziridis, Ben Fabry, Holger Schulze |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2017
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Subjects: | |
Online Access: | https://doaj.org/article/f136b21fce664103affdd5c445506309 |
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