MINIMIZING THE EFFECT OF SINUSOIDAL TRENDS IN DETRENDED FLUCTUATION ANALYSIS [PDF]
The detrended fluctuation analysis (DFA) [Peng et al., 1994] and its extensions (MF-DFA) [Kantelhardt et al., 2002] have been used extensively to determine possible long-range correlations in self-affine signals. While the DFA has been claimed to be a superior technique, recent reports have indicated its susceptibility to trends in the data.
Radhakrishnan Nagarajan +1 more
exaly +3 more sources
Hybrid Framework for Cartilage Damage Detection from Vibroacoustic Signals Using Ensemble Empirical Mode Decomposition and CNNs [PDF]
This study proposes a hybrid analytical framework for detecting chondromalacia using vibroacoustic (VAG) signals from patients with knee osteoarthritis (OA) and healthy controls (HCs).
Anna Machrowska +5 more
doaj +2 more sources
Detrended fluctuation analysis based on best-fit polynomial
Detrended fluctuation analysis (DFA) can quantify long-range correlation (LRC) and fractal scaling behavior of signal. We compared the results of variant DFA methods by varying the order of the polynomial and found that the order of 6 was relatively ...
Shanshan Zhao +5 more
doaj +1 more source
The Cross-correlation Structure of Tehran Stock Exchange Indexes by Multifractal Detrended Fluctuation Analysis [PDF]
One of the latest approaches for analyzing the coupled time series is MF-DXA. This technique has been used in many disciplines such as finance. In this paper, we have analyzed Tehran Stock Exchange indexes by MF-DXA and have found a scaling behavior ...
Reza Tehrani +2 more
doaj +1 more source
Theoretical foundation of detrending methods for fluctuation analysis such as detrended fluctuation analysis and detrending moving average [PDF]
We present a general framework of detrending methods of fluctuation analysis of which detrended fluctuation analysis (DFA) is one prominent example. Another more recently introduced method is detrending moving average (DMA). Both methods are constructed differently but are similarly able to detect long-range correlations as well as anomalous diffusion ...
Höll, M., Kiyono, K., Kantz, H.
openaire +4 more sources
Clustering Arid Rangelands Based on NDVI Annual Patterns and Their Persistence
Rangeland ecosystems comprise more than a third of the global land surface, sustaining essential ecosystem services and livelihoods. In Spain, Southeast Spain includes some of the driest regions; accordingly, rangelands from Murcia and Almeria provinces ...
Ernesto Sanz +6 more
doaj +1 more source
Effect of trends on detrended fluctuation analysis [PDF]
20 pages, 16 ...
Hu, Kun +4 more
openaire +4 more sources
Effect of nonstationarities on detrended fluctuation analysis [PDF]
Detrended fluctuation analysis (DFA) is a scaling analysis method used to quantify long-range power-law correlations in signals. Many physical and biological signals are ``noisy'', heterogeneous and exhibit different types of nonstationarities, which can affect the correlation properties of these signals.
Chen, Zhi +3 more
openaire +4 more sources
DETRENDED FLUCTUATION ANALYSIS OF AUTOREGRESSIVE PROCESSES [PDF]
Autoregressive processes (AR) have typical short-range memory. Detrended Fluctuation Analysis (DFA) was basically designed to reveal long-range correlations in non stationary processes. However DFA can also be regarded as a suitable method to investigate both long-range and short-range correlations in non stationary and stationary systems.
Morariu, V. V. +3 more
openaire +2 more sources
Dynamics of Urban Fire Correlations with Detrended Fluctuation Analysis [PDF]
To explore and understand the intrinsic dynamic mechanisms of urban fire system is an important prerequisite for the fire risk analysis and management. By analyzing the time series of urban fire system, it is helpful to achieve this goal.
Jinghong Wang
doaj +1 more source

