Agro-meteorological quantities are often in the form of time series, and knowledge about
their temporal scaling properties is fundamental for transferring locally measured …

The results of the multifractal analysis performed for meteorological time series coming from
four stations in Poland and Bulgaria located in varying climatic zones are presented. To …

Scale issues become very important when applying weather time series. We address
problems associated with transferring meteorological data across time scales by comparing …

In medical discipline, complexity measure is focused on the analysis of nonlinear patterns in
processing waveform signals. The complexity measure of such waveform signals is well …

We propose a new numerical method for calculating 2D fractal dimension (DF) of a surface.
This method represents a generalization of Higuchi's method for calculating fractal …

The complexity, entropy and other non-linear measures of the electroencephalogram (EEG),
such as Higuchi fractal dimension (FD), have been recently proposed as the measures of …

Central neuropathic pain (CNP) negatively impacts the quality of life in a large proportion of
people with spinal cord injury (SCI). With no cure at present, it is crucial to improve our …

The cerebellum, even when not directly damaged, is potentially interesting for
understanding the adaptive responses to brain injury. Cerebellar electrocortical activity …

Background Nonlinear methods provide a direct way of estimating complexity of one-
dimensional sampled signals through calculation of Higuchi's fractal dimension (1< FD< 2) …

The exact mathematical relationship between FFT spectrum and fractal dimension (FD) of an
experimentally recorded signal is not known. In this work, we tried to calculate signal FD …