2 citations · 3 across the 3 of their papers we have counts for
4 papers
Graph-Based Multivariate Multiscale Dispersion Entropy: Efficient Implementation and Applications to Real-World Network Data
John Stewart Fabila-Carrasco, Chao Tan, Javier Escudero
We introduce Multivariate Multiscale Graph-based Dispersion Entropy (mvDEG), a novel, computationally efficient method for analyzing multivariate time series data in graph and comp…
Dispersion entropy: A Measure of Irregularity for Graph Signals
John Stewart Fabila-Carrasco, Chao Tan, Javier Escudero
We introduce a novel method, called Dispersion Entropy for Graph Signals, , as a powerful tool for analysing the irregularity of signals defined on graphs. We demonstrate the…
A noise-robust Multivariate Multiscale Permutation Entropy for two-phase flow characterisation
John Stewart Fabila-Carrasco, Chao Tan, Javier Escudero
Using a graph-based approach, we propose a multiscale permutation entropy to explore the complexity of multivariate time series over multiple time scales. This multivariate multisc…
Multivariate permutation entropy, a Cartesian graph product approach
John Stewart Fabila-Carrasco, Chao Tan, Javier Escudero
Entropy metrics are nonlinear measures to quantify the complexity of time series. Among them, permutation entropy is a common metric due to its robustness and fast computation. Mul…