000864467 001__ 864467
000864467 005__ 20240619091250.0
000864467 0247_ $$2doi$$a10.3390/s19163566
000864467 0247_ $$2Handle$$a2128/22709
000864467 0247_ $$2pmid$$apmid:31443310
000864467 0247_ $$2WOS$$aWOS:000484407200123
000864467 037__ $$aFZJ-2019-04248
000864467 082__ $$a620
000864467 1001_ $$0P:(DE-Juel1)128697$$aHuang, Xiaolei$$b0
000864467 245__ $$aSensor Configuration and Algorithms for Power-Line Interference Suppression in Low Field Nuclear Magnetic Resonance
000864467 260__ $$aBasel$$bMDPI$$c2019
000864467 3367_ $$2DRIVER$$aarticle
000864467 3367_ $$2DataCite$$aOutput Types/Journal article
000864467 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1568031226_22204
000864467 3367_ $$2BibTeX$$aARTICLE
000864467 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000864467 3367_ $$00$$2EndNote$$aJournal Article
000864467 520__ $$aLow field (LF) nuclear magnetic resonance (NMR) shows potential advantages to study pure heteronuclear J-coupling and observe the fine structure of matter. Power-line harmonics interferences and fixed-frequency noise peaks might introduce discrete noise peaks into the LF-NMR spectrum in an open environment or in a conductively shielded room, which might disturb J-coupling spectra of matter recorded at LF. In this paper, we describe a multi-channel sensor configuration of superconducting quantum interference devices, and measure the multiple peaks of the 2,2,2-trifluoroethanol J-coupling spectrum. For the case of low signal to noise ratio (SNR) < 1, we suggest two noise suppression algorithms using discrete wavelet analysis (DWA), combined with either least squares method (LSM) or gradient descent (GD). The de-noising methods are based on spatial correlation of the interferences among the superconducting sensors, and are experimentally demonstrated. The DWA-LSM algorithm shows a significant effect in the noise reduction and recovers SNR > 1 for most of the signal peaks. The DWA-GD algorithm improves the SNR further, but takes more computational time. Depending on whether the accuracy or the speed of the de-noising process is more important in LF-NMR applications, the choice of algorithm should be made
000864467 536__ $$0G:(DE-HGF)POF3-523$$a523 - Controlling Configuration-Based Phenomena (POF3-523)$$cPOF3-523$$fPOF III$$x0
000864467 588__ $$aDataset connected to CrossRef
000864467 7001_ $$00000-0002-6444-1134$$aDong, Hui$$b1$$eCorresponding author
000864467 7001_ $$0P:(DE-Juel1)169638$$aTao, Quan$$b2
000864467 7001_ $$0P:(DE-HGF)0$$aYu, Mengmeng$$b3
000864467 7001_ $$0P:(DE-HGF)0$$aLi, Yongqiang$$b4
000864467 7001_ $$0P:(DE-HGF)0$$aRong, Liangliang$$b5
000864467 7001_ $$0P:(DE-Juel1)128697$$aKrause, Hans-Joachim$$b6$$eCorresponding author
000864467 7001_ $$0P:(DE-Juel1)128713$$aOffenhäusser, Andreas$$b7$$ufzj
000864467 7001_ $$0P:(DE-HGF)0$$aXie, Xiaoming$$b8
000864467 773__ $$0PERI:(DE-600)2052857-7$$a10.3390/s19163566$$gVol. 19, no. 16, p. 3566 -$$n16$$p3566 -$$tSensors$$v19$$x1424-8220$$y2019
000864467 8564_ $$uhttps://juser.fz-juelich.de/record/864467/files/Invoice_MDPI_sensors-566693_1128.13EUR.pdf
000864467 8564_ $$uhttps://juser.fz-juelich.de/record/864467/files/Invoice_MDPI_sensors-566693_1128.13EUR.pdf?subformat=pdfa$$xpdfa
000864467 8564_ $$uhttps://juser.fz-juelich.de/record/864467/files/sensors-19-03566-v2.pdf$$yOpenAccess
000864467 8564_ $$uhttps://juser.fz-juelich.de/record/864467/files/sensors-19-03566-v2.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000864467 8767_ $$8sensors-566693$$92019-08-14$$d2019-08-14$$eAPC$$jZahlung erfolgt
000864467 909CO $$ooai:juser.fz-juelich.de:864467$$pdnbdelivery$$popenCost$$pVDB$$pdriver$$pOpenAPC$$popen_access$$popenaire
000864467 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)128697$$aForschungszentrum Jülich$$b0$$kFZJ
000864467 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)128697$$aForschungszentrum Jülich$$b6$$kFZJ
000864467 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)128713$$aForschungszentrum Jülich$$b7$$kFZJ
000864467 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-HGF)0$$aForschungszentrum Jülich$$b8$$kFZJ
000864467 9131_ $$0G:(DE-HGF)POF3-523$$1G:(DE-HGF)POF3-520$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lFuture Information Technology - Fundamentals, Novel Concepts and Energy Efficiency (FIT)$$vControlling Configuration-Based Phenomena$$x0
000864467 9141_ $$y2019
000864467 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000864467 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000864467 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000864467 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bSENSORS-BASEL : 2017
000864467 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal
000864467 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000864467 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000864467 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000864467 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000864467 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000864467 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000864467 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000864467 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000864467 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central
000864467 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000864467 920__ $$lyes
000864467 9201_ $$0I:(DE-Juel1)ICS-8-20110106$$kICS-8$$lBioelektronik$$x0
000864467 9801_ $$aAPC
000864467 9801_ $$aFullTexts
000864467 980__ $$ajournal
000864467 980__ $$aVDB
000864467 980__ $$aUNRESTRICTED
000864467 980__ $$aI:(DE-Juel1)ICS-8-20110106
000864467 980__ $$aAPC
000864467 981__ $$aI:(DE-Juel1)IBI-3-20200312