Filtering chaotic time series

Michael E. Davies

doi:10.1117/12.190842

28 October 1994 Filtering chaotic time series

Michael E. Davies

Proceedings Volume 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V; (1994) https://doi.org/10.1117/12.190842
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

We consider the relationship between modelling dynamics with a nonlinear function approximation and the application of a noise reduction algorithm. Filtering the data with such an algorithm is then shown to provide a better deterministic model for the data than an ordinary least squares estimate.

Citation Download Citation

Michael E. Davies "Filtering chaotic time series", Proc. SPIE 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V, (28 October 1994); https://doi.org/10.1117/12.190842

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