التفاصيل البيبلوغرافية
| العنوان: |
New Algorithm by Maximizing Mutual Information for Correction of Frequency Drifts Arising from One-Dimensional NMR Spectroscopic Data Acquisition |
| المؤلفون: |
Toshi Nagata (481257) |
| سنة النشر: |
1753 |
| المجموعة: |
Smithsonian Institution: Digital Repository |
| مصطلحات موضوعية: |
Biophysics, Pharmacology, Cancer, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, previously reported algorithms, maximizing mutual information, obtained spectroscopic data, handled without difficulty, nmr spectra complicated, benchtop nmr spectrometers, algorithm worked well, 19 , 1 , significant frequency drifts, frequency drifts arising, frequency drifts, raw data, cause difficulty, present algorithm, new algorithm, spin coupling, signal overlapping, organic chemistry, noisy ones, getting popular |
| الوصف: |
Benchtop nuclear magnetic resonance (NMR) instruments are getting popular these days. However, the obtained spectra sometimes suffer from significant frequency drifts, which cause difficulty in accumulating the raw data. In this paper, a new algorithm for correction of frequency drifts is proposed, which operates by maximizing mutual information between the obtained spectroscopic data. The algorithm worked well for both 1 H and 19 F NMR spectroscopic data, even in the case of very noisy ones. In comparison with the previously reported algorithms, the present algorithm has an advantage that NMR spectra complicated by signal overlapping and spin coupling can be handled without difficulty. This makes the present algorithm particularly advantageous for application of benchtop NMR spectrometers in organic chemistry. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/journal_contribution/New_Algorithm_by_Maximizing_Mutual_Information_for_Correction_of_Frequency_Drifts_Arising_from_One-Dimensional_NMR_Spectroscopic_Data_Acquisition/17003620 |
| DOI: |
10.1021/acsomega.1c05143.s001 |
| الاتاحة: |
https://doi.org/10.1021/acsomega.1c05143.s001 |
| Rights: |
CC BY-NC 4.0 |
| رقم الانضمام: |
edsbas.4DB90D16 |
| قاعدة البيانات: |
BASE |