4 papers
Quantifying signals with power-law correlations: A comparative study of detrended fluctuation analysis and detrended moving average techniques
L. Xu, P. Ch. Ivanov, K. Hu +3
Detrended fluctuation analysis (DFA) and detrended moving average (DMA) are two scaling analysis methods designed to quantify correlations in noisy non-stationary signals. We syste…
Heuristic Segmentation of a Nonstationary Time Series
Kensuke Fukuda, H. Eugene Stanley, Luis A. Nunes Amaral
Many phenomena, both natural and human-influenced, give rise to signals whose statistical properties change under time translation, i.e., are nonstationary. For some practical purp…
Truncation of power law behavior in "scale-free" network models due to information filtering
Stefano Mossa, Marc Barthelemy, H. Eugene Stanley +1
We formulate a general model for the growth of scale-free networks under filtering information conditions--that is, when the nodes can process information about only a subset of th…
Stochastic Feedback and the Regulation of Biological Rhythms
Plamen Ch. Ivanov, Luis A. N. Amaral, Ary Goldberger +1
We propose a general approach to the question of how biological rhythms spontaneously self-regulate, based on the concept of ``stochastic feedback''. We illustrate this approach by…