Noise reduction: Finding the simplest dynamical system consistent with the data

Eric J. Kostelich, James A. Yorke

Research output: Contribution to journalArticlepeer-review

144 Scopus citations

Abstract

A novel method is described for noise reduction in chaotic experimental data whose dynamics are low dimensional. In addition, we show how the approach allows experimentalists to use many of the same techniques that have been essential for the analysis of nonlinear systems of ordinary differential equations and difference equations.

Original languageEnglish (US)
Pages (from-to)183-196
Number of pages14
JournalPhysica D: Nonlinear Phenomena
Volume41
Issue number2
DOIs
StatePublished - Mar 1990
Externally publishedYes

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • Condensed Matter Physics
  • Applied Mathematics

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