Results 21 to 30 of about 338,472 (315)
Journal of Function Spaces, 2022 The Lorenz-Stenflo mathematical model describes a complex dynamical behavior related to atmospheric acoustic-gravity waves. In this study, qualitative analysis of the four-dimensional hyperchaotic Lorenz-Stenflo system via the Caputo fractional ...
Chernet Tuge Deressa +3 more
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Metapopulation dynamics of a persisting predator–prey system in the laboratory: time series analysis [PDF]
Experimental & Applied Acarology, 1997 The scarcity of experimental evidence for the persistence of predator–prey systems at the metapopulation level inspired us to develop a simple predator–prey experiment that could be used for testing several theoretical predictions concerning persistence and its causes.
Janssen, A. +4 more
openaire +3 more sources
Thermodynamic time asymmetry in nonequilibrium fluctuations [PDF]
, 2007 We here present the complete analysis of experiments on driven Brownian motion and electric noise in a $RC$ circuit, showing that thermodynamic entropy production can be related to the breaking of time-reversal symmetry in the statistical description of ...
A Petrosyan +15 more
core +3 more sources
A New Recurrence-Network-Based Time Series Analysis Approach for Characterizing System Dynamics
Entropy, 2019 In this paper, a novel analysis method based on recurrence networks is proposed to characterize the evolution of dynamical systems. Through phase space reconstruction, a time series was transformed into a high-dimensional recurrence network and a ...
Guangyu Yang, Daolin Xu, Haicheng Zhang
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Land, 2021 Dynamics of arable and pastoral farming systems in Scotland over the period 1867–2020 are documented using time series analysis methods, including for nonlinear dynamical systems. Results show arable and pastoral farming, at a national scale, are dynamic
Richard Aspinall +2 more
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Nonstationary time-series analysis applied to investigation of brainstem system dynamics
IEEE Transactions on Biomedical Engineering, 2000 Previous investigations of the dynamic organization of the lower brainstem and its relation to peripheral and other central nervous systems were predominantly performed by linear methods. These are based on time-averaging algorithms, which merely can be applied to stationary signal intervals.
Vandenhouten, Ralf +3 more
openaire +2 more sources
PLoS ONE, 2023 This study investigated temporal variations of the COVID-19 pandemic in Japan using a time series analysis incorporating maximum entropy method (MEM) spectral analysis, which produces power spectral densities (PSDs). This method was applied to daily data
Ayako Sumi
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Lyapunov exponent using Euler’s algorithm with applications in optimization problems [PDF]
Yugoslav Journal of Operations Research, 2022 The difference and differential equations have played an eminent part in nonlinear dynamics systems, but in the last two decades one-dimensional difference maps are considered in the forefront of nonlinear systems and the optimization of ...
Ashish +4 more
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A Novel Method for Detection of Epilepsy in Short and Noisy EEG Signals Using Ordinal Pattern Analysis [PDF]
Iranian Journal of Medical Physics, 2010 Introduction: In this paper, a novel complexity measure is proposed to detect dynamical changes in nonlinear systems using ordinal pattern analysis of time series data taken from the system.
Iman Veisi +3 more
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Spurious Results of Fluctuation Analysis Techniques in Magnitude and Sign Correlations
Entropy, 2017 Fluctuation Analysis (FA) and specially Detrended Fluctuation Analysis (DFA) are techniques commonly used to quantify correlations and scaling properties of complex time series such as the observable outputs of great variety of dynamical systems, from ...
Pedro Carpena +4 more
doaj +1 more source