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Simpler methods do it better: Success of Recurrence Quantification Analysis as a general purpose data analysis tool |
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| Authors: | Charles L Webber Jr Norbert Marwan |
| Institution: | a Department of Cell and Molecular Physiology, Loyola University Medical Center, Maywood, IL, USA b Potsdam Institute for Climate Impact Research (PIK), 14412 Potsdam, Germany c Center the Study of Complex Systmes and Department of Information Enginering, University of Siena, 53100 Siena, Italy d Environment and Health Department, Istituto Superiore di Sanità, Roma, Italy |
| Abstract: | Over the last decade, Recurrence Quantification Analysis (RQA) has become a new standard tool in the toolbox of nonlinear methodologies. In this Letter we trace the history and utility of this powerful tool and cite some common applications. RQA continues to wend its way into numerous and diverse fields of study. |
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