66 citations · 230 across the 21 of their papers we have counts for
8 papers · 1 filter
Time and ensemble averaging in time series analysis
Miroslaw Latka, Massimiliano Ignaccolo, Wojciech Jernajczyk +1
In many applications expectation values are calculated by partitioning a single experimental time series into an ensemble of data segments of equal length. Such single trajectory e…
Probability flux as a method for detecting scaling
M. Ignaccolo, P. Grigolini, B. J. West
We introduce a new method for detecting scaling in time series. The method uses the properties of the probability flux for stochastic self-affine processes and is called the probab…
The Failure of the Ergodic Assumption
M. Ignaccolo, M. Latka, B. J. West
The well established procedure of constructing phenomenological ensemble from a single long time series is investigated. It is determined that a time series generated by a simple U…
The Dynamics of EEG Entropy
M. Ignaccolo, M. Latka, W. Jernajczyk +2
EEG time series are analyzed using the diffusion entropy method. The resulting EEG entropy manifests short-time scaling, asymptotic saturation and an attenuated alpha-rhythm modula…
Dynamics of EEG Entropy: beyond signal plus noise
M. Ignaccolo, M. Latka, W. Jernajczyk +2
EEG time series are analyzed using the diffusion entropy method. The resulting EEG entropy manifests short-time scaling, asymptotic saturation and an attenuated alpha-rhythm modula…
Automated Chirp Detection with Diffusion Entropy: Application to Infrasound from Sprites
M. Ignaccolo, T. Farges, E. Blanc +1
We study the performance of three different methods to automatically detect a chirp in background noise. (1) The standard deviation detector uses the computation of the signal to n…