Fast topological data analysis for computationally efficient feature extraction in nonstationary time series

Topological data analysis (TDA) is a powerful tool for characterizing nonlinear and nonstationary dynamics, but the rapid computational growth of persistent homology filtrations, particularly Vietoris–Rips (VR) constructions, limits its use in high-rate and edge-computing applications. This paper in