Time irreversibility analysis and abnormality detection based on Riemannian geometry for complex time series

DOI10.1016/J.CNSNS.2022.106985OpenAlexW4308499900WikidataQ115358512 ScholiaQ115358512MaRDI QIDQ2108739

Pengjian Shang, Binbin Shang, Zhuo Wang

Publication date: 20 December 2022

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2022.106985

zbMATH Keywords

Riemannian geometrytime irreversibilityabnormality detectioncomplex time series

Mathematics Subject Classification ID

Graph theory (05Cxx) Inference from stochastic processes (62Mxx) Stochastic processes (60Gxx)

Uses Software

• PhysioToolkit

Cites Work

• Unnamed Item
• A Riemannian framework for tensor computing
• Dimensional properties of fractional Brownian motion
• Time irreversibility and amplitude irreversibility measures for nonequilibrium processes
• From time series to complex networks: The visibility graph
• Time-reversibility of linear stochastic processes
• Geometric Means in a Novel Vector Space Structure on Symmetric Positive‐Definite Matrices
• Fractional Brownian Motions, Fractional Noises and Applications

This page was built for publication: Time irreversibility analysis and abnormality detection based on Riemannian geometry for complex time series