2002
DOI: 10.1016/s0066-4103(02)46019-x
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Computer processing techniques in high-resolution NMR

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Cited by 3 publications
(4 citation statements)
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“…Further improvement in the accuracy of NMR integrations and, thus, the accuracy of NMR-based quantitation using various computer algorithms has been reported. [73][74][75][76] A spreadsheet-based software tool that aids the subsequent evaluation of the quantitative data using the "rule of three" has been reported. 77 Reference Compounds for Validation.…”
Section: The Qhnmr Experimentsmentioning
confidence: 99%
See 1 more Smart Citation
“…Further improvement in the accuracy of NMR integrations and, thus, the accuracy of NMR-based quantitation using various computer algorithms has been reported. [73][74][75][76] A spreadsheet-based software tool that aids the subsequent evaluation of the quantitative data using the "rule of three" has been reported. 77 Reference Compounds for Validation.…”
Section: The Qhnmr Experimentsmentioning
confidence: 99%
“…In addition, baseline correction routines should also be applied prior to the integration process since they will further contribute to both the accuracy of integrals and their reproducibility. Further improvement in the accuracy of NMR integrations and, thus, the accuracy of NMR-based quantitation using various computer algorithms has been reported. A spreadsheet-based software tool that aids the subsequent evaluation of the quantitative data using the “rule of three” has been reported…”
Section: The Qhnmr Experimentsmentioning
confidence: 99%
“…In order to improve resolution, many processing techniques can be applied. 7,8 Linear prediction, for example, aims at predicting the amplitude of the data points following the few acquired ones, and routinely improves the resolution by a factor of 4-16 depending on the signal-to-noise ratio, but it never reaches the desired improvement factor of 100. The latter goal can be reached in two ways that are alternatives to the brute force increase in the number of increments.…”
Section: Theorymentioning
confidence: 99%
“…The first consists in avoiding the Nyquist condition by giving up the objective of acquiring data points linearly. 8 This makes it impossible to apply discrete Fourier transforms, which is a limitation, but we believe that such non-linear techniques have not said their last word in this context. The second alternative, which we have chosen, is to violate the Nyquist condition: by increasing the t 1 increment delay in order to acquire data points linearly with the longest t 1 evolution times that are of the order of the acquisition times used in one-dimensional experiments.…”
Section: Theorymentioning
confidence: 99%