Detrended fluctuation analysis with model comparison
A Multifractal Detrended Fluctuation Analysis of the Moroccan Stock Exchange
... multifractal detrended fluctuation analysis ...the fluctuation functions from which we estimate the generalized Hurst ...the comparison of the multifractal behavior of MASI and MADEX ...
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Evaluation of Wellness in Sleep by Detrended Fluctuation Analysis of the Heartbeats
... Fourier analysis was less than expected and quite disappointing ...the detrended fluctuation analysis (DFA) was more suitable for detecting irregularities in the heartbeat ...1/f ...
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Multifractal detrended fluctuation analysis of nonstationary time series
... MF-DFA fluctuation functions F q (s) for the binomial multifractal model with a = ...multifractal model remain unchanged if the double summation technique [see ...
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Two-dimensional multifractal detrended fluctuation analysis for plant identification
... tal analysis (MFA) methods were proposed ...multifractal detrended fluctuation analysis (MF-DFA) method that can deal with non-stationary is a desirable method for leaf image analysis ...
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Power considerations for the application of detrended fluctuation analysis in gait variability studies
... fGn model for H = ...fGn model is not a good fit for the stride interval series, then the estimates of the between-trial variance may be slightly ...fGn model is always implicitly assumed when the ...
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Multifractal manifold for rotating machinery fault diagnosis based on detrended fluctuation analysis
... on detrended fluctuation analysis (DFA) is ...multifractal fluctuation functions of signal series with an appropriate polynomial order, according to multifractal DFA ...
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Objective differentiation of neonatal EEG background grades using detrended fluctuation analysis
... by detrended fluctuation analysis (DFA) could be used in the neonatal EEG to distinguish different grades of abnormality in the background EEG ...gradings. Comparison of MF-DFA metrics showed ...
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Parallel detrended fluctuation analysis for fast event detection on massive PMU data
... and analysis, as well as an offline approach in the context of data ...MapReduce model for data partitioning and distribution amongst a cluster of computer ...in comparison with the sequential DFA. ...
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p-exponent and p-leaders, Part II: Multifractal Analysis. Relations to Detrended Fluctuation Analysis
... Multifractal analysis studies signals, functions, images or fields via the fluctuations of their local regularity along time or space, which capture crucial features of their temporal/spatial ...multifractal ...
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A Sleep Scoring System Using EEG Combined Spectral and Detrended Fluctuation Analysis Features
... combine detrended fluctuation analysis features and spectral features of single electroencephalograph (EEG) channel for the purpose of building an automated sleep staging sys- tem based on the hybrid ...
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Using Continuous Glucose Monitoring Data and Detrended Fluctuation Analysis to Determine Patient Condition: A Review.
... Step 4b – Producing the Multifractal spectrum When the self-similarity of a time series changes with spatial and temporal variations, the signal is deemed to be multifractal [35], as described in Section 1, Step 2 and ...
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A Fault Diagnosis Scheme of Gear Vibration Signal Based on Variational Mode Decomposition and Detrended Fluctuation Analysis
... signal analysis methods have been proposed in fault ...time-frequency analysis, which extracts information from the vibration signal as a function of time and ...frequency analysis when analyzing ...
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Extracting a seizure intensity index from one channel EEG signal using bispectral and detrended fluctuation analysis
... Table 5 is a comparison of the proposed method with previous works on the same data. The important part of this study is the index extraction. Along with SD feature, DFA and BIS can separately well classify the ...
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The application of detrended fluctuation analysis to assess physical characteristics of the human cell line ECV304 following toxic challenges
... intervals. Analysis of the impedance data was undertaken using the feature- extraction technique, Detrended Fluctuation Analysis ...average fluctuation of the signal, F(n) (and scaling ...
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Removal of artifacts in knee joint vibroarthrographic signals using ensemble empirical mode decomposition and detrended fluctuation analysis
... more long-range power-law correlated components than the C6 IMF (α = 1.6), because the C8 IMF has slower oscillations. In the present study, we removed the IMFs with anti-correlations (0 < α < 0.5) and monotonic residue ...
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Source Of The Multifractality In Exchange Markets: Multifractal Detrended Fluctuations Analysis
... risk analysis, as the definition and measurement of the risk and prices processes were wrong, they did not take the extreme events or Black Swans of financial markets into ...every model, which uses normal ...
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Spatial analysis of oil reservoirs using detrended fluctuation analysis of geophysical data
... the detrended fluctuation analysis (DFA) technique to investigate spatial properties of an oil ...from fluctuation analysis over well ...data analysis suggests that the sonic ...
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Fluctuation Analysis to Sequence of Ore-forming Element Based on Fractal-Jump Model
... abnormal fluctuation induced by emergency in geological ...jump model referred as a combination of fractional Brownian motion and Poisson distributed jumps was built to depict the fluctuation pattern ...
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Cumulant Analysis in Fluorescence Fluctuation Spectroscopy
... new analysis technique that extracts information from cumulants of fluorescence fluctuation ...simple model that connects the brightness and number of molecules of fluorescent species with the factorial ...
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Fluctuation Analysis of Caulobacter crescentus Adhesion
... Fluctuation Analysis of Caulobacter crescentus Adhesion Elnaz Alipour-Assiabi,* Guanglai Li,* Thomas ...We model the holdfast as three torsional springs in series and find that the effective torsional ...
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