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Stochastic Resonance
KTH, School of Engineering Sciences (SCI).
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Noise is often viewed as something unfortunate and unavoidable, however with the development

of Stochastic Resonance (SR) theory it has been shown to have beneficial

effects in many non-linear systems. We have explored the SR phenomenon via numerical

simulations of two such systems. The first one is a one-dimensional Brownian particle

in a bi-stable potential and the second a simple model of a signal neuron both subject

to a periodic input signal. We have investigated the system responses for different input

signal frequencies and noise levels in order to determine both an optimal noise level and

any dependencies upon the input signal frequency.

Place, publisher, year, edition, pages
2016. , 25 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-193632OAI: oai:DiVA.org:kth-193632DiVA: diva2:1033266
External cooperation
Available from: 2016-10-06 Created: 2016-10-06 Last updated: 2016-10-06Bibliographically approved

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CiteExportLink to record
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  • apa
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