Frequently Asked Questions (FAQ): Difference between revisions
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(Created page with "__FORCETOC__ == 2D auto-correlation and 2D hetero-correlation analysis == The mat2dcorr toolbox was initially designed for hetero 2D correlation analysis. Therefore, you will have to load your spectral data files twice as x- and as y-data in order to perform classical 2D (auto) correlation analysis. == Links to other non-commercial 2D-COS software solutions == * [https://sites.google.com/view/shigemorita/home/2dshige 2dshige], free software for two-dimensional corre...") |
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* [https://de.mathworks.com/matlabcentral/fileexchange/32384-midas-2010 MIDAS 2010], Matlab-based software tools developed in the Canadian Light Source for 2D spectroscopic analysis and data exploration of time resolved infrared spectra | * [https://de.mathworks.com/matlabcentral/fileexchange/32384-midas-2010 MIDAS 2010], Matlab-based software tools developed in the Canadian Light Source for 2D spectroscopic analysis and data exploration of time resolved infrared spectra | ||
* [https://arxiv.org/abs/1808.00685 corr2D (R)], - Implementation of two-dimensional correlation analysis in R, developed by Robert Geitner. | * [https://arxiv.org/abs/1808.00685 corr2D (R)], - Implementation of two-dimensional correlation analysis in R, developed by Robert Geitner. | ||
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Revision as of 17:25, 2 April 2023
2D auto-correlation and 2D hetero-correlation analysis
The mat2dcorr toolbox was initially designed for hetero 2D correlation analysis. Therefore, you will have to load your spectral data files twice as x- and as y-data in order to perform classical 2D (auto) correlation analysis.
Links to other non-commercial 2D-COS software solutions
- 2dshige, free software for two-dimensional correlation analysis developed by Prof. Shigeaki Morita (Osaka Electro-Communication University).
- MIDAS 2010, Matlab-based software tools developed in the Canadian Light Source for 2D spectroscopic analysis and data exploration of time resolved infrared spectra
- corr2D (R), - Implementation of two-dimensional correlation analysis in R, developed by Robert Geitner.
(to be continued)