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Huang, Xiaolei [Verfasser:in]; Dong, Hui [Verfasser:in]; Tao, Quan [Verfasser:in]; Yu, Mengmeng [Verfasser:in]; Li, Yongqiang [Verfasser:in]; Rong, Liangliang [Verfasser:in]; Krause, Hans-Joachim [Verfasser:in]; Offenhäusser, Andreas [Verfasser:in]; Xie, Xiaoming [Verfasser:in]

Sensor Configuration and Algorithms for Power-Line Interference Suppression in Low Field Nuclear Magnetic Resonance

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  • Medientyp: E-Artikel
  • Titel: Sensor Configuration and Algorithms for Power-Line Interference Suppression in Low Field Nuclear Magnetic Resonance
  • Beteiligte: Huang, Xiaolei [Verfasser:in]; Dong, Hui [Verfasser:in]; Tao, Quan [Verfasser:in]; Yu, Mengmeng [Verfasser:in]; Li, Yongqiang [Verfasser:in]; Rong, Liangliang [Verfasser:in]; Krause, Hans-Joachim [Verfasser:in]; Offenhäusser, Andreas [Verfasser:in]; Xie, Xiaoming [Verfasser:in]
  • Erschienen: MDPI, 2019
  • Erschienen in: Sensors 19(16), 3566 - (2019). doi:10.3390/s19163566
  • Sprache: Englisch
  • DOI: https://doi.org/10.3390/s19163566
  • ISSN: 1424-8220
  • Entstehung:
  • Anmerkungen: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Beschreibung: 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
  • Zugangsstatus: Freier Zugang