Simpler methods do it better: success of recurrence quantification analysis as a general purpose data analysis tool

DOI10.1016/j.physleta.2009.08.052zbMath1233.68129OpenAlexW2125852714MaRDI QIDQ665427

Angelo Facchini, Alessandro Giuliani, Charles L. jun. Webber, Norbert Marwan

Publication date: 5 March 2012

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physleta.2009.08.052

Mathematics Subject Classification ID

Data structures (68P05) Numerical aspects of recurrence relations (65Q30)

Related Items (6)

Approximation of diagonal line based measures in recurrence quantification analysis ⋮ RECURRENCE-BASED TIME SERIES ANALYSIS BY MEANS OF COMPLEX NETWORK METHODS ⋮ Recurrence Density Enhanced Complex Networks for Nonlinear Time Series Analysis ⋮ Border effect corrections for diagonal line based recurrence quantification analysis measures ⋮ Recurrence and symmetry of time series: application to transition detection ⋮ Looking for a sequence based allostery definition: a statistical journey at different resolution scales

Cites Work

• The Wiener-Khinchin theorem and recurrence quantification
• Nonlinear analysis of bivariate data with cross recurrence plots
• Generalized recurrence plots for the analysis of images from spatially distributed systems
• Multivariate recurrence plots
• Line structures in recurrence plots
• RECURRENCE QUANTIFICATIONS: FEATURE EXTRACTIONS FROM RECURRENCE PLOTS
• Estimation of dynamical invariants without embedding by recurrence plots

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