Noise is usually associated with the negative phenomenon, hampering the measurements data and their analysis. This view has been broken in the '80s when the phenomenon of stochastic resonance (Stochastic Resonance - SR) was discovered. It is a phenomenon that occurs in nonlinear dynamic measurement systems when the selected input noise can optimize system performance. SR became a way to improve efficiency of weak signals detection. Furthermore, studies proved that the SR phenomenon can increase sensitivity of sensors having nonlinear characteristic which work in an environment distorted by noise. The presence of a selected noise intensity improves functioning of the sensor. There are many methods of using stochastic resonance to improve measurements quality. The paper presents examples of applying stochastic resonance in miscellaneous systems.
Authors
Additional information
- Category
- Publikacja w czasopiśmie
- Type
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Language
- polski
- Publication year
- 2011
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