Hilbert-Huang transform in MHD plasma diagnostics

A new method for processing experimental data from MHD diagnostics is discussed that provides a more detailed study of the dynamics of large-scale MHD instabilities. The method is based on the Hilbert-Huang transform method and includes an empirical mode decomposition algorithm, which is used to dec...

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Bibliographic Details
Published inPlasma physics reports Vol. 31; no. 12; pp. 1054 - 1063
Main Authors Kakurin, A. M., Orlovsky, I. I.
Format Journal Article
LanguageEnglish
Published United States 01.12.2005
Subjects
70 PLASMA PHYSICS AND FUSION TECHNOLOGY
ALGORITHMS
AMPLITUDES
HARMONICS
MAGNETOHYDRODYNAMICS
PLASMA
PLASMA DIAGNOSTICS
PLASMA INSTABILITY
PLASMA WAVES
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Summary:A new method for processing experimental data from MHD diagnostics is discussed that provides a more detailed study of the dynamics of large-scale MHD instabilities. The method is based on the Hilbert-Huang transform method and includes an empirical mode decomposition algorithm, which is used to decompose the experimental MHD diagnostic signals into a set of frequency- and amplitude-modulated harmonics in order to construct the time evolutions of the amplitudes and frequencies of these harmonics with the help of the Hilbert transform. The method can also be applied to analyze data from other diagnostics that measure unsteady oscillating signals.
ISSN:1063-780X
1562-6938
DOI:10.1134/1.2147651