Data analysis techniques: Difference between revisions

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=== Self-similarity ===
=== Self-similarity ===


* [[:Wikipedia:Rescaled range|Rescaled range]] or Hurst analysis; Structure functions
* [[:Wikipedia:Rescaled range|Rescaled range]] or [[:Wikipedia:Hurst exponent|Hurst]] analysis; Structure functions
* Waiting times, quiet times <ref>[http://link.aps.org/doi/10.1103/PhysRevE.66.036124 R. Sánchez et al., ''Quiet-time statistics: A tool to probe the dynamics of self-organized-criticality systems from within the strong overlapping regime'',  Phys. Rev. E '''66''', 036124 (2002)]</ref>
* Waiting times, quiet times <ref>[http://link.aps.org/doi/10.1103/PhysRevE.66.036124 R. Sánchez et al., ''Quiet-time statistics: A tool to probe the dynamics of self-organized-criticality systems from within the strong overlapping regime'',  Phys. Rev. E '''66''', 036124 (2002)]</ref>



Revision as of 16:23, 14 February 2010

This page collects information on data analysis techniques used in fusion research.

Temporal analysis

Linear analysis

Non-linear analysis

Self-similarity

Spatial analysis

Most of the techniques listed under 'temporal analysis' can of course be applied to spatial data.

Spatio-temporal analysis

Image analysis

  • Twodimensional Fourier analysis
  • Twodimensional 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.

See also

Error propagation

References