Wavelet p-Leader and Bootstrap based MultiFractal analysis (PLBMF) toolbox
This toolbox for MATLAB enables the (discrete) wavelet domain based multifractal analysis of (1d) signals and (2d) images, with bootstrap confidence intervals and significance tests, using wavelet p-leaders and wavelet leaders.
The toolbox is a generalization (to p-leaders based analysis) and significant update (to a more efficient code) of the wavelet leader based WLBMF toolbox that has also been developed by members of the consortium.
The toolbox is self-contained and entirely written in MATLAB. Several demo files are included.
For more details, references and free anonymous download, please follow
this link .
Bayesian estimation for multifractal analysis
This MATLAB toolbox enables the wavelet leader based Bayesian univariate (single time series or image) and multivariate (several time series or images, using regularizing priors) estimation for the multifractality parameter (i.e., the intermittency parameter or second log-cumumant) and the position of the mode of the multifractal spectrum (i.e., the first log-cumulant).
The toolbox is self-contained and entirely written in MATLAB.
For more details, demo files, tutorials, references and free anonymous download, please follow
this link ,
and visit the dedicated web site (originating from the CIMPA Research School 2017).
