Coupled nonlinear stochastic differential equations generating arbitrary distributed observable with 1/f noise. (19th April 2016)
- Record Type:
- Journal Article
- Title:
- Coupled nonlinear stochastic differential equations generating arbitrary distributed observable with 1/f noise. (19th April 2016)
- Main Title:
- Coupled nonlinear stochastic differential equations generating arbitrary distributed observable with 1/f noise
- Authors:
- Ruseckas, J
Kazakevičius, R
Kaulakys, B - Abstract:
- Abstract: Nonlinear stochastic differential equations provide one of the mathematical models yielding 1/ f noise. However, the drawback of a single equation as a source of 1/ f noise is the necessity of power-law steady-state probability density of the signal. In this paper we generalize this model and propose a system of two coupled nonlinear stochastic differential equations. The equations are derived from the scaling properties necessary for the achievement of 1 / f β noise. The first equation describes the changes of the signal, whereas the second equation represents a fluctuating rate of change. The proposed coupled stochastic differential equations allow us to obtain a 1 / f β spectrum in a wide range of frequencies together with the almost arbitrary steady-state density of the signal.
- Is Part Of:
- Journal of statistical mechanics. (2016:Apr.)
- Journal:
- Journal of statistical mechanics
- Issue:
- (2016:Apr.)
- Issue Display:
- Volume 1000016 (2016)
- Year:
- 2016
- Volume:
- 1000016
- Issue Sort Value:
- 2016-1000016-0000-0000
- Page Start:
- Page End:
- Publication Date:
- 2016-04-19
- Subjects:
- Statistical mechanics -- Periodicals
Mechanics -- Statistical methods -- Periodicals
530.1305 - Journal URLs:
- http://ioppublishing.org/ ↗
- DOI:
- 10.1088/1742-5468/2016/04/043209 ↗
- Languages:
- English
- ISSNs:
- 1742-5468
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8456.xml