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The analysis of chaotic time-series data

โœ Scribed by Eric J. Kostelich

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
577 KB
Volume
31
Category
Article
ISSN
0167-6911

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โœฆ Synopsis

This paper present~; a brief survey of time-series analysis methods that are applicable to processes whose behavior can be described as low-d:[mensional chaos. The goal of these methods is to allow experimentalists to obtain local estimates of the dynamics directly from a set of data. These estimates are often sufficiently accurate to attempt noise reduction, prediction, and control. ~) 1997 Elsevier Science B.V.

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