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Topology-based Signal Separation

Robins, Vanessa; Rooney, Niall; Bradley, Elizabeth


Traditional noise-filtering techniques are known to significantly alter features of chaotic data. In this paper, we present a noncausal topology-based filtering method for continuous-time dynamical systems that is effective in removing additive, uncorrelated noise from time-series data. Signal-to-noise ratios and Lyapunov exponent estimates are dramatically improved following the removal of the identified noisy points.

CollectionsANU Research Publications
Date published: 2004
Type: Journal article
Source: Chaos An Interdisciplinary Journal of Nonlinear Science
DOI: 10.1063/1.1705852


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