Simpler methods do it better: success of recurrence quantification analysis as a general purpose data analysis tool
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Publication:665427
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
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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