Fractal time series substantially differs from conventional one in its statistic properties. For
instance, it may have a heavy-tailed probability distribution function PDF, a slowly decayed …

The seminal text on fractal geometry for students and researchers: extensively revised and
updated with new material, notes and references that reflect recent directions. Interest in …

We investigate the statistical evidence for the use of 'rough'fractional processes with Hurst
exponent H< 0.5 for modeling the volatility of financial assets, using a model-free approach …

The surface electromyography (sEMG) signal separation and decphompositions has always
been an interesting research topic in the field of rehabilitation and medical research. Subtle …

The highlights in this paper are in two aspects. First, we introduce a type of novel fractional
noise termed generalized fractional Gaussian noise (gfGn). Its autocorrelation function …

The study of the high-performance of biopolymers and current eco-friendly have recently
emerged. However, the micro-behavior and underlying mechanisms during the test are still …

In this paper, we introduce a novel multifractional noise, which we call modified
multifractional Gaussian noise (mmfGn). The introduced mmfGn is with the time varying …

Almost every natural process is stochastic due to the basic consequences of nature's
existence and the dynamical behavior of each process that is not stationary but evolves with …

El antropólogo Carlos Reynoso demuestra en esta obra que el pretendido “paradigma de la
complejidad” de Edgar Morin refleja una concepción anticuada y circunscripta de la …

The book provides an insight into the advantages and limitations of the use of fractals in
biomedical data. It begins with a brief introduction to the concept of fractals and other …