2020
DOI: 10.1109/tim.2020.2993981
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A Portable NMR Spectrometer With a Probe Head Combining RF and DC Capabilities to Generate Pulsed-Field Gradients

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Cited by 9 publications
(3 citation statements)
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“…When the current density component J ϕ ′ (ϕ ′ , z ′ ) of the coil and its corresponding Fourier variation F m ϕ ′ (k) have been determined, the magnetic field can be calculated using (5). The current density component J ϕ ′ (ϕ ′ , z ′ ) carried by the saddle coil can then be expressed as…”
Section: Magnetic Field Of the Coils In A Vacuummentioning
confidence: 99%
See 1 more Smart Citation
“…When the current density component J ϕ ′ (ϕ ′ , z ′ ) of the coil and its corresponding Fourier variation F m ϕ ′ (k) have been determined, the magnetic field can be calculated using (5). The current density component J ϕ ′ (ϕ ′ , z ′ ) carried by the saddle coil can then be expressed as…”
Section: Magnetic Field Of the Coils In A Vacuummentioning
confidence: 99%
“…Examples of these devices include spin-exchange relaxation free (SERF) atomic magnetometers [1][2][3], nuclear magnetic resonance gyroscopes (NMRGs) [4], * Author to whom any correspondence should be addressed. magnetic resonance imaging devices [5,6], and atomic clocks [7]. The external stray field can be attenuated to a few nT using a passive magnetically shielded cylinder (MSC) with high permeability, and the triaxial uniform magnetic field coils are then used to generate magnetic fields with equal amplitudes in opposite directions to compensate accurately for the remanence [8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…Other portable and miniature spectrometers were developed using existing standard development platforms, such as Terasic DE0-nano, LMS7002M, and Ettus N200 [26]- [29]. A SoCbased approach was also used in some cases, where the FPGA embeds a hybrid system containing programmable logic and a processor subsystem [30]- [32]. Some researchers developed portable FPGA based NQR spectrometers and simulated realtime post-processing denoising algorithms [33], [34], and incorporated denoising algorithms on FPGA embedded processor [35].…”
Section: Introductionmentioning
confidence: 99%