engleski

Chaotic Time Series Analysis

This paper reviews methods for chaotic time series analysis. It presents methods for detecting and quantification of chaotic behaviour from experimental time series. Reconstruction of attractor from time series is important prerequisite for analysis. It consists of determining the minimum embedding dimension and choosing the apropriate time delay. Various methods to accomplish these tasks are presented. Several measures of attractor dimension are briefly discussed. Correlation dimension and Grassberger-Procaccia method are treated in more detail.

chaotic time series; reconstruction of attractor; attractor dimension

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