This title appears in the Scientific Report :
2019
Please use the identifier:
http://hdl.handle.net/2128/22709 in citations.
Please use the identifier: http://dx.doi.org/10.3390/s19163566 in citations.
Sensor Configuration and Algorithms for Power-Line Interference Suppression in Low Field Nuclear Magnetic Resonance
Sensor Configuration and Algorithms for Power-Line Interference Suppression in Low Field Nuclear Magnetic Resonance
Low field (LF) nuclear magnetic resonance (NMR) shows potential advantages to study pure heteronuclear J-coupling and observe the fine structure of matter. Power-line harmonics interferences and fixed-frequency noise peaks might introduce discrete noise peaks into the LF-NMR spectrum in an open envi...
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Personal Name(s): | Huang, Xiaolei |
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Dong, Hui (Corresponding author) / Tao, Quan / Yu, Mengmeng / Li, Yongqiang / Rong, Liangliang / Krause, Hans-Joachim (Corresponding author) / Offenhäusser, Andreas / Xie, Xiaoming | |
Contributing Institute: |
Bioelektronik; ICS-8 |
Published in: | Sensors, 19 (2019) 16, S. 3566 - |
Imprint: |
Basel
MDPI
2019
|
PubMed ID: |
31443310 |
DOI: |
10.3390/s19163566 |
Document Type: |
Journal Article |
Research Program: |
Controlling Configuration-Based Phenomena |
Link: |
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Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.3390/s19163566 in citations.
Low field (LF) nuclear magnetic resonance (NMR) shows potential advantages to study pure heteronuclear J-coupling and observe the fine structure of matter. Power-line harmonics interferences and fixed-frequency noise peaks might introduce discrete noise peaks into the LF-NMR spectrum in an open environment or in a conductively shielded room, which might disturb J-coupling spectra of matter recorded at LF. In this paper, we describe a multi-channel sensor configuration of superconducting quantum interference devices, and measure the multiple peaks of the 2,2,2-trifluoroethanol J-coupling spectrum. For the case of low signal to noise ratio (SNR) < 1, we suggest two noise suppression algorithms using discrete wavelet analysis (DWA), combined with either least squares method (LSM) or gradient descent (GD). The de-noising methods are based on spatial correlation of the interferences among the superconducting sensors, and are experimentally demonstrated. The DWA-LSM algorithm shows a significant effect in the noise reduction and recovers SNR > 1 for most of the signal peaks. The DWA-GD algorithm improves the SNR further, but takes more computational time. Depending on whether the accuracy or the speed of the de-noising process is more important in LF-NMR applications, the choice of algorithm should be made |