State Space Reconstruction Parameters in the Analysis of Chaotic Time Series - the Role of the Time Window Length

The most common state space reconstruction method in the analysis of chaotic time series is the Method of Delays (MOD). Many techniques have been suggested to estimate the parameters of MOD, i.e. the time delay τ and the embedding dimension m. We discuss the applicability of these techniques with a critical view as to their validity, and point out the necessity of determining the overall time window length, τw, for successful embedding. Emphasis is put on the relation between τw and the dynamics of the underlying chaotic system, and we suggest to set τw ≥ τp, the mean orbital period; τp is approximated from the oscillations of the time series. The procedure is assessed using the correlation dimension for both synthetic and real data. For clean synthetic data, values of τw larger than τp always give good results given enough data and thus τp can be considered as a lower limit (τw ≥ τp). For noisy synthetic data and real data, an upper limit is reached for τw which approaches τp for increasing noise amplitude.