Methods for removal of unwanted signals from gravity time-series: Comparison using linear techniques complemented with analysis of system dynamics [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2017 The presence of undesirable dominating signals in geophysical experimental data is a challenge in many subfields. One remarkable example is surface gravimetry, where frequencies from Earth tides correspond to time-series fluctuations up to a thousand times larger than the phenomena of major interest, such as hydrological gravity effects or co-seismic ...
Arthur Valencio +2 more
openaire +4 more sources
Recurrence-based time series analysis by means of complex network methods
, 2010 Complex networks are an important paradigm of modern complex systems sciences which allows quantitatively assessing the structural properties of systems composed of different interacting entities.
Csárdi G. +12 more
core +1 more source
Evidence of self-organized criticality in time series by the horizontal visibility graph approach
Scientific Reports, 2022 Determination of self-organized criticality (SOC) is crucial in evaluating the dynamical behavior of a time series. Here, we apply the complex network approach to assess the SOC characteristics in synthesis and real-world data sets.
Bardia Kaki +2 more
doaj +1 more source
Numerical and experimental study of the effects of noise on the permutation entropy [PDF]
, 2015 We analyze the effects of noise on the permutation entropy of dynamical systems. We take as numerical examples the logistic map and the R\"ossler system.
Masoller, Cristina +3 more
core +3 more sources
Measuring dynamical phase transitions in time series
Physical Review ResearchThere is a growing interest in methods for detecting and interpreting changes in experimental time-evolution data. Based on measured time series, the quantitative characterization of dynamical phase transitions at bifurcation points of the underlying ...
Bulcsú Sándor +4 more
doaj +1 more source
Temporal network analysis using zigzag persistence
EPJ Data Science, 2023 This work presents a framework for studying temporal networks using zigzag persistence, a tool from the field of Topological Data Analysis (TDA). The resulting approach is general and applicable to a wide variety of time-varying graphs.
Audun Myers +3 more
doaj +1 more source
Nonlinear time-series analysis revisited
, 2015 In 1980 and 1981, two pioneering papers laid the foundation for what became known as nonlinear time-series analysis: the analysis of observed data---typically univariate---via dynamical systems theory.
Bradley, Elizabeth, Kantz, Holger
core +1 more source
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
FEBS Letters, EarlyView.The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
Computational Topology Techniques for Characterizing Time-Series Data
, 2018 Topological data analysis (TDA), while abstract, allows a characterization of time-series data obtained from nonlinear and complex dynamical systems. Though it is surprising that such an abstract measure of structure - counting pieces and holes - could ...
A Fraser +17 more
core +1 more source
Persistence and Stochastic Periodicity in the Intensity Dynamics of a Fiber Laser During the Transition to Optical Turbulence [PDF]
, 2018 Many natural systems display transitions among different dynamical regimes, which are difficult to identify when the data is noisy and high dimensional.
Carpi, Laura, Masoller, Cristina
core +3 more sources