KLTOOL: A tool to analyze spatiotemporal complexity

Hans Armbruster; Randy Heiland; Eric Kostelich

doi:10.1063/1.166020

KLTOOL: A tool to analyze spatiotemporal complexity

Hans Armbruster, Randy Heiland, Eric Kostelich

Mathematical and Statistical Sciences, School of (SoMSS)

Research output: Contribution to journal › Article › peer-review

22 Scopus citations

Abstract

We announce the availability of a software package, called KLTOOL, that can extract phase space information from complex spatiotemporal data via the Karhunen-Loève analysis. Data generated by the periodic, quasiperiodic or chaotic evolution of a small number of spatially coherent structures can be processed. A key feature of KLTOOL is that it allows the user to interact easily with the data processing and its graphical display. We illustrate the use of KLTOOL on numerical data from the Kuramoto-Sivashinsky equation and laboratory data from a flame experiment.

Original language	English (US)
Pages (from-to)	421-424
Number of pages	4
Journal	Chaos
Volume	4
Issue number	2
DOIs	https://doi.org/10.1063/1.166020
State	Published - 1994

ASJC Scopus subject areas

Statistical and Nonlinear Physics
Mathematical Physics
General Physics and Astronomy
Applied Mathematics

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abstract = "We announce the availability of a software package, called KLTOOL, that can extract phase space information from complex spatiotemporal data via the Karhunen-Lo{\`e}ve analysis. Data generated by the periodic, quasiperiodic or chaotic evolution of a small number of spatially coherent structures can be processed. A key feature of KLTOOL is that it allows the user to interact easily with the data processing and its graphical display. We illustrate the use of KLTOOL on numerical data from the Kuramoto-Sivashinsky equation and laboratory data from a flame experiment.",

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AB - We announce the availability of a software package, called KLTOOL, that can extract phase space information from complex spatiotemporal data via the Karhunen-Loève analysis. Data generated by the periodic, quasiperiodic or chaotic evolution of a small number of spatially coherent structures can be processed. A key feature of KLTOOL is that it allows the user to interact easily with the data processing and its graphical display. We illustrate the use of KLTOOL on numerical data from the Kuramoto-Sivashinsky equation and laboratory data from a flame experiment.

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KLTOOL: A tool to analyze spatiotemporal complexity

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