Detrended Flucatuation Analysis (DFA) of Long-range temporal correlations

Version 1.1.0.0 (6.89 KB) by Simon-Shlomo Poil
The DFA algorithm is a scaling analysis method used to estimate long-range temporal correlations.
2.3
(3)
1.1K Downloads
Updated 31 Jan 2013

View License

The DFA algorithm is a scaling analysis method used to estimate long-range temporal correlations.

Description: The Detrended flctuation analsysis (DFA) algorithm is a scaling analysis method used to estimate long-range temporal correlations of power-law form. In other words, if a sequence of events has a non-random temporal structure with slowly decaying auto-correlations, DFA can quantify how slowly these correlations decay as indexed by the DFA power-law exponent.

We here present the DFA algorithm implemented as a Biomarker for the Neurophysiological Biomarker Toolbox. You can download this toolbox at http://www.nbtwiki.net.

A tutorial on Detrended fluctuation analysis can be found here: http://www.nbtwiki.net/doku.php?id=tutorial:detrended_fluctuation_analysis_dfa

Cite As

Simon-Shlomo Poil (2024). Detrended Flucatuation Analysis (DFA) of Long-range temporal correlations (https://www.mathworks.com/matlabcentral/fileexchange/40011-detrended-flucatuation-analysis-dfa-of-long-range-temporal-correlations), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2008a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

NBT_DFA/nbt_Biomarker/

NBT_DFA/nbt_DFA/

Version Published Release Notes
1.1.0.0

I corrected a missing 'd' in the title
1.0.0.0