2008
DOI: 10.1140/epjst/e2008-00836-2
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Symbolic recurrence plots: A new quantitative framework for performance analysis of manufacturing networks

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Cited by 28 publications
(21 citation statements)
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“…It is worth noting that, recently, there have been the first successful attempts to transfer the idea of "recurrences" in phase space to symbolic data [11,72,73]. A special case is order pattern recurrence plots [74,75], which have been successfully applied in the analysis of neurophysiological time series.…”
Section: Other Entropy Measures From Phase Space Methodsmentioning
confidence: 99%
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“…It is worth noting that, recently, there have been the first successful attempts to transfer the idea of "recurrences" in phase space to symbolic data [11,72,73]. A special case is order pattern recurrence plots [74,75], which have been successfully applied in the analysis of neurophysiological time series.…”
Section: Other Entropy Measures From Phase Space Methodsmentioning
confidence: 99%
“…Section 2.1.4. ) or even mixed strategies [11]). Thus, we generate a symbolic time series from a two-letter (λ = 2) alphabet (0,1), e.g., 0110100110010110 .…”
Section: Symbolic Dynamicsmentioning
confidence: 99%
“…A more detailed mathematical description of the considered simulation model as well as the aforementioned order policies is given in Donner, Hinrichs, and Scholz-Reiter [20].…”
Section: Model Variantsmentioning
confidence: 99%
“…Applying a similar thresholding to a difference-filtered time series (that is, the increments of the original data, in this case the variations of the inventory levels) yields a dynamic encoding, which contains hardly any information about the long-term variations but preserves the essential shortterm variability. Under rather general conditions, mixed forms of both major strategies may be applied as well [20]. This work will exclusively consider a dynamic encoding that maps the time series (X t )(t = 1, .…”
Section: Symbolic Time Series Analysismentioning
confidence: 99%
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