18 November 1993 Chaotic time series analysis using the wavelet transform
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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