18 November 1993 Chaotic time series analysis using the wavelet transform
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Abstract
The wavelet transform is a bank of convolution filters indexed by scale; each scale of the transform of a signal is a filtered version of that signal. Here we explore the use of the Morlet wavelet to filter one coordinate of a dynamical system in order to visualize certain aspects of the geometry of the dynamics. This technique is a natural generalization of the differential phase plane representation.
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Patricia H. Carter, "Chaotic time series analysis using the wavelet transform", Proc. SPIE 2038, Chaos in Communications, (18 November 1993); doi: 10.1117/12.162692; https://doi.org/10.1117/12.162692
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