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

机译:低场核磁共振中电力线干扰抑制的传感器配置和算法

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摘要

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.
机译:低场(LF)核磁共振(NMR)显示了研究纯异核J耦合并观察物质的精细结构的潜在优势。电力线谐波干扰和固定频率的噪声峰值可能会在开放的环境中或在导电屏蔽的房间中将离散的噪声峰值引入LF-NMR谱中,这可能会干扰LF记录的物质的J耦合谱。在本文中,我们描述了超导量子干涉装置的多通道传感器配置,并测量了2,2,2-三氟乙醇J耦合光谱的多个峰。对于低信噪比(SNR)<1的情况,我们建议使用离散小波分析(DWA)结合最小二乘法(LSM)或梯度下降(GD)的两种噪声抑制算法。去噪方法基于超导传感器之间干扰的空间相关性,并进行了实验证明。 DWA-LSM算法在降噪方面显示出显着效果,并且对于大多数信号峰值,其SNR> 1。 DWA-GD算法进一步提高了SNR,但需要更多的计算时间。取决于降噪过程的准确性或速度在LF-NMR应用中是否更重要,应选择算法。

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