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Applications and new developments of the direct exponential curve resolution algorithm (DECRA). Examples of spectra and magnetic resonance images
Author(s) -
Windig Willem,
Antalek Brian,
Sorriero Louis J.,
Bijlsma Sabina,
Louwerse AD D. J.,
Smilde Age K.
Publication year - 1999
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/(sici)1099-128x(199903/04)13:2<95::aid-cem530>3.0.co;2-l
Subject(s) - exponential function , spectral line , resolution (logic) , rank (graph theory) , algorithm , nuclear magnetic resonance , physics , computer science , mathematics , artificial intelligence , mathematical analysis , quantum mechanics , combinatorics
Recently, a new multivariate analysis tool was developed to resolve mixture data sets, where the contributions (‘concentrations’) have an exponential profile. The new approach is called DECRA (direct exponential curve resolution algorithm). DECRA is based on the generalized rank annihilation method (GRAM). Examples will be given of resolving nuclear magnetic resonance spectra resulting from a diffusion experiment, spectra in the ultraviolet/visible region of a reaction and magnetic resonance images of the human brain. Copyright © 1999 John Wiley & Sons, Ltd.