Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jmr.2004.11.028
Title: Entropy minimization and spectral dissimilarity curve resolution technique applied to nuclear magnetic resonance data sets
Authors: Widjaja, E.
Garland, M. 
Issue Date: Mar-2005
Source: Widjaja, E., Garland, M. (2005-03). Entropy minimization and spectral dissimilarity curve resolution technique applied to nuclear magnetic resonance data sets. Journal of Magnetic Resonance 173 (1) : 175-182. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jmr.2004.11.028
Abstract: The use of entropy minimization and spectral dissimilarity is applied to three nuclear magnetic resonance (NMR) data sets. The data sets contain 2, 2, and 3 observables each. It was found that without any a priori information the sets of pure component spectra underlying the NMR spectroscopic observations could be extracted. These successful spectral resolutions suggest that a combined entropy minimization and spectral dissimilarity approach can be further developed for even larger NMR data sets containing a larger number of observables. Brief comparison to DECRA and PMF curve resolution results is also presented. © 2004 Elsevier Inc. All rights reserved.
Source Title: Journal of Magnetic Resonance
URI: http://scholarbank.nus.edu.sg/handle/10635/63852
ISSN: 10907807
DOI: 10.1016/j.jmr.2004.11.028
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