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Title: GitHub - gjacopo/singularity: Numerical methods (C/Matlab) for multifractal singularity analysis of 1D (time-series) signals · GitHub

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Description: Numerical methods (C/Matlab) for multifractal singularity analysis of 1D (time-series) signals - gjacopo/singularity

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https://doi.org/10.5281/zenodo.322302
https://github.com/gjacopo/singularity#singularity
https://github.com/gjacopo/singularity#numerical-methods-for-multifractal-singularity-analysis-of-1d-time-series-signals
Turiel et al.'s articlehttps://github.com/gjacopo/singularity#References
10.1016/j.jcp.2005.12.004http://dx.doi.org/10.1016/j.jcp.2005.12.004
multifractal projecthttps://github.com/gjacopo/multifractal
LastWavehttps://github.com/gjacopo/singularity/blob/master/LastWave
WaveLab802http://statweb.stanford.edu/~wavelab/
FracLabhttps://github.com/gjacopo/singularity/blob/master/FracLab
Empirical evidences of a common multifractal signature in economic, biological and physical systemshttps://hal.archives-ouvertes.fr/inria-00438521/document
10.1016/j.physa.2009.01.041http://dx.doi.org/10.1016/j.physa.2009.01.041
Numerical methods for the estimation of singularity spectra on sampled data: a comparative studyhttp://www.sciencedirect.com/science/article/pii/S0021999105005565
10.1016/j.jcp.2005.12.004http://dx.doi.org/10.1016/j.jcp.2005.12.004
On various multifractal spectrahttps://hal.inria.fr/inria-00559102/file/jlvctfinal.pdf
Wavelet based multifractal formalism: Application to DNA sequences, satellite images of the cloud structure and stock market datahttp://germain.its.maine.edu/~khalil/courses/MAT500/papers/arneodo_bookfractals_02.pdf
Singularity spectrum of multifractal functions involving oscillating singularitieshttp://link.springer.com/article/10.1007/BF02475987
10.1007/BF02475987https://github.com/doi.org/10.1007/BF02475987
Singularity spectrum of fractal signals from wavelet analysis: Exact resultshttp://link.springer.com/article/10.1007/BF01053588
10.1007/BF01053588https://github.com/doi.org/10.1007/BF01053588
Nonlinear wavelet methods for recovery of signals, images, and densities from noisy and incomplete datahttps://statistics.stanford.edu/sites/default/files/EFS%20NSF%20437.pdf
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