Topology-based Signal Separation

Robins, Vanessa; Rooney, Niall; Bradley, Elizabeth

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Topology-based Signal Separation

Date

2004

Authors

Robins, Vanessa

Rooney, Niall

Bradley, Elizabeth

Publisher

American Institute of Physics (AIP)

Abstract

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.

URI

http://hdl.handle.net/1885/77658

Collections

ANU Research Publications

Source

Chaos An Interdisciplinary Journal of Nonlinear Science

Type

Journal article

DOI

10.1063/1.1705852

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Topology-based Signal Separation

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