Embedding of sequences of time intervals
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Times series obtained from dynamical systems can be converted into sequences of time intervals between relevant events. We show that under quite general conditions time intervals are phase space observables and therefore embedding theorems for the reconstruction of a state space from scalar signals are valid. The practical applicability in data analysis is discussed with the help of numerical and experimental examples.
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