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...

Full description

Saved in:
Bibliographic Details
Main Authors: Patrick Krauss, Claus Metzner, Achim Schilling, Christian Schütz, Konstantin Tziridis, Ben Fabry, Holger Schulze
Format: article
Language:EN
Published: Nature Portfolio 2017
Subjects:
R
Q
Online Access:https://doaj.org/article/f136b21fce664103affdd5c445506309
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items