Decomposing Multifractal Crossovers

@article{Nagy2017DecomposingMC,
  title={Decomposing Multifractal Crossovers},
  author={Zolt{\'a}n Nagy and Peter Mukli and Peter Herman and Andras Eke},
  journal={Frontiers in Physiology},
  year={2017},
  volume={8}
}
Physiological processes—such as, the brain's resting-state electrical activity or hemodynamic fluctuations—exhibit scale-free temporal structuring. However, impacts common in biological systems such as, noise, multiple signal generators, or filtering by transport function, result in multimodal scaling that cannot be reliably assessed by standard analytical tools that assume unimodal scaling. Here, we present two methods to identify breakpoints or crossovers in multimodal multifractal scaling… 
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