Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Simulation of Fluctuations with 1∕f Spectrum

View through CrossRef
This work presents the results of computer simulation of chaotic motion of elements in models of equilibrium and non-equilibrium systems, which showed that equilibrium fluctuations (white noise) are characteristic of equilibrium systems. In non-equilibrium systems, both equilibrium and non-equilibrium fluctuations are present. Notably, non-equilibrium fluctuations appear at low frequencies and are proportional to [Formula: see text]. It is shown that the level of the [Formula: see text] component of fluctuations is lower in models where the internal structure is less damaged. In practice, this can be achieved in various ways, for example, by reducing the number of defects in the structure of solid-state elements. An approximation formula for the energy spectrum of fluctuations is presented, where the parameters include the level of equilibrium fluctuations (thermal noise for electronic components) and the degree of deviation from the equilibrium state of the system under study, expressed through the relaxation time. Therefore, the proposed formula can be applied to approximate [Formula: see text]-type fluctuations in any real system — electrical fluctuations, biological fluctuations, geophysical fluctuations, etc. The approximation formula allows us to estimate the fluctuation level in the low-frequency range.
World Scientific Pub Co Pte Ltd
Title: Simulation of Fluctuations with 1∕f Spectrum
Description:
This work presents the results of computer simulation of chaotic motion of elements in models of equilibrium and non-equilibrium systems, which showed that equilibrium fluctuations (white noise) are characteristic of equilibrium systems.
In non-equilibrium systems, both equilibrium and non-equilibrium fluctuations are present.
Notably, non-equilibrium fluctuations appear at low frequencies and are proportional to [Formula: see text].
It is shown that the level of the [Formula: see text] component of fluctuations is lower in models where the internal structure is less damaged.
In practice, this can be achieved in various ways, for example, by reducing the number of defects in the structure of solid-state elements.
An approximation formula for the energy spectrum of fluctuations is presented, where the parameters include the level of equilibrium fluctuations (thermal noise for electronic components) and the degree of deviation from the equilibrium state of the system under study, expressed through the relaxation time.
Therefore, the proposed formula can be applied to approximate [Formula: see text]-type fluctuations in any real system — electrical fluctuations, biological fluctuations, geophysical fluctuations, etc.
The approximation formula allows us to estimate the fluctuation level in the low-frequency range.

Related Results

Isolation, characterization and semi-synthesis of natural products dimeric amide alkaloids
Isolation, characterization and semi-synthesis of natural products dimeric amide alkaloids
 Isolation, characterization of natural products dimeric amide alkaloids from roots of the Piper chaba Hunter. The synthesis of these products using intermolecular [4+2] cycloaddit...
Solar Spectrum Simulation Algorithms Considering AM0G and AM1.5G
Solar Spectrum Simulation Algorithms Considering AM0G and AM1.5G
LED solar simulators currently face limitations in their spectral simulation capabilities, especially in terms of accurately incorporating AM0G and AM1.5G solar spectra. To this en...
Hybrid Spectrum Handoff Scheme of Imperfect Sensing in Cognitive Radio Networks
Hybrid Spectrum Handoff Scheme of Imperfect Sensing in Cognitive Radio Networks
Background: In the actual cognitive radio network, there exist the imperfect sensing such as false alarm and missed detection which can lead to the inaccurate spectrum handoff and ...
Spectrum sharing metrics
Spectrum sharing metrics
Purpose – The purpose of this paper is to propose technology-independent metrics for measuring spectrum utilization efficiency and spectrum sharing which could prov...
Spectrum management issues for heterogeneous networks in commons spectrum
Spectrum management issues for heterogeneous networks in commons spectrum
Purpose The purpose of this paper is to analyse some of the spectrum management policy implications of an evolving set of wireless technologies. Specially, deployment of heterogene...
Spectrum Occupancy Predictions Using Deep Learning Algorithms
Spectrum Occupancy Predictions Using Deep Learning Algorithms
The fixed spectrum allocation (FSA) policy causes a waste of valuable and limited natural resources because a significant portion of the spectrum allocated to users is unused. With...
The Thermodynamic Impact of Compressive Fluctuations on the Solar Wind in the Inner Heliosphere
The Thermodynamic Impact of Compressive Fluctuations on the Solar Wind in the Inner Heliosphere
The solar wind plasma is observed to fluctuate over a broad range of space and time scales, extending from scales above the magnetic field correlation scale to below those associat...
Effect of signal discreteness on correlation functions
Effect of signal discreteness on correlation functions
Number or density autocorrelation functions can sometimes be obtained in terms of electron emission current autocorrelation functions if the current fluctuations are related to the...

Back to Top