Data analysis techniques
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