On the deciphering of complex time-series.

Astronomy and Astrophysics – Astronomy

Scientific paper

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Numerical Methods

Scientific paper

The final aim during the deciphering analysis of a recorded data set of time-series observations is to extract the information in the best usable form to understand the dynamical processes working in the background and generating the observable. In simple cases a frequency decomposition is enough for this purpose but in more complex situations we have to look for more sophisticated methods. A new possibility based on the geometrical picture of phase-space reconstruction methods will also be drafted which can give a more direct bridge between observations and the governing equations.

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