Data analysis techniques: Difference between revisions
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(Created page with 'This pages collects information on data analysis techniques used in fusion research. == Temporal analysis == === Linear analysis === * Correlation * Fourier analysis * Wavelet…') |
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== Spatial analysis == | == Spatial analysis == | ||
Most of the techniques listed under 'temporal analysis' can of course be applied to spatial data. | |||
* Tomography (cf. [[TJ-II:Tomography]]) | * Tomography (cf. [[TJ-II:Tomography]]) | ||
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* Biorthogonal decomposition | * Biorthogonal decomposition | ||
== Image analysis == | |||
* Bidimensional Fourier analysis | |||
* Bidimensional wavelet analysis | |||
* Event detection using thresholding | |||
* Optical flow (for movies) | |||
== Integrated data analysis == | == Integrated data analysis == | ||
Revision as of 14:15, 9 February 2010
This pages collects information on data analysis techniques used in fusion research.
Temporal analysis
Linear analysis
- Correlation
- Fourier analysis
- Wavelet analysis
- Conditional analysis
- Probability distributions
- Rescaled range or Hurst analysis
Non-linear analysis
- Bicoherence analysis
- Chaos analysis (attractors, fractional dimensions)
- Hilbert-Huang transform
Spatial analysis
Most of the techniques listed under 'temporal analysis' can of course be applied to spatial data.
- Tomography (cf. TJ-II:Tomography)
Spatio-temporal analysis
- Biorthogonal decomposition
Image analysis
- Bidimensional Fourier analysis
- Bidimensional wavelet analysis
- Event detection using thresholding
- Optical flow (for movies)
Integrated data analysis
The goal of integrated data analysis is to combine the information from a set of diagnostics providing complementary information in order to recover the best possible reconstruction of the actual state of the system subjected to measurement.
- Function parametrization
- Bayesian analysis