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Nonlinear least-squares fitting without matrix inversion applied to complex Gaussian spectra analysis

✍ Scribed by Ilfan A. Slavic´


Publisher
Elsevier Science
Year
1976
Weight
296 KB
Volume
134
Category
Article
ISSN
0029-554X

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The performance of quantitative analysis of \(1 \mathrm{D}\) NMR spectra depends greatly on the choice of the NMR signal model. Complex least-squares analysis is well suited for optimizing the quantitative determination of spectra containing a limited number of signals \((<30)\) obtained under satis