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…
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…
Permutation Entropy for Graph Signals
John Stewart Fabila-Carrasco, Chao Tan, Javier Escudero
Entropy metrics (for example, permutation entropy) are nonlinear measures of irregularity in time series (one-dimensional data). Some of these entropy metrics can be generalised to…