Journal
CHAOS SOLITONS & FRACTALS
Volume 45, Issue 3, Pages 213-223Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2011.12.004
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Funding
- NSF [CMMI-0825311, 0826119]
- Div Of Civil, Mechanical, & Manufact Inn
- Directorate For Engineering [0826119] Funding Source: National Science Foundation
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Distinguishing low-dimensional chaos from noise is an important issue in time series analysis. Among the many methods proposed for this purpose is the noise titration technique, which quantifies the amount of noise that needs to be added to the signal to fully destroy its nonlinearity. Two groups of researchers recently have questioned the validity of the technique. In this paper, we report a broad range of situations where the noise titration technique fails, and offer solutions to fix the problems identified. (C) 2011 Elsevier Ltd. All rights reserved.
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