Please use this identifier to cite or link to this item:
|Title:||Entropy minimization and spectral dissimilarity curve resolution technique applied to nuclear magnetic resonance data sets|
|Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 19, 2018
WEB OF SCIENCETM
checked on Apr 2, 2018
checked on May 18, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.