2007
DOI: 10.1007/s00723-007-0006-3
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Multiplicative or t 1 Noise in NMR Spectroscopy

Abstract: The signal in an NMR experiment is highly sensitive to fluctuations of the environment of the sample. If, for example, the static magnetic field B 0 , the amplitude and phase of radio frequency (rf) pulses, or the resonant frequency of the detection circuit are not perfectly stable and reproducible, the magnetic moment of the spins is altered and becomes a noisy quantity itself. This kind of noise not only depends on the presence of a signal, it is in fact proportional to it. Since all the spins at a particula… Show more

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Cited by 18 publications
(15 citation statements)
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“…Transposing the signal matrix swaps the meaning of the eigenvectors of the PCA between the 7 Li NMR spectra and the 2D τ c -T 1 correlation map of the 3D data set. If the signal-to-noise ratio (SNR) in both dimensions is similar, which is commonly assumed in NMR experiments unless the SNR is high enough that multiplicative noise starts to dominate [47], this matrix orientation becomes important if contrast for different features in the signal is more pronounced in one dimension over the other. In the present case, both dimensions show a considerable amount of overlap of different features.…”
Section: Resultsmentioning
confidence: 99%
“…Transposing the signal matrix swaps the meaning of the eigenvectors of the PCA between the 7 Li NMR spectra and the 2D τ c -T 1 correlation map of the 3D data set. If the signal-to-noise ratio (SNR) in both dimensions is similar, which is commonly assumed in NMR experiments unless the SNR is high enough that multiplicative noise starts to dominate [47], this matrix orientation becomes important if contrast for different features in the signal is more pronounced in one dimension over the other. In the present case, both dimensions show a considerable amount of overlap of different features.…”
Section: Resultsmentioning
confidence: 99%
“…Both the 13-interval PGSTE and the CPMG data were spectrally resolved by Fourier transforming the NMR raw data along the transient dimension. The distributions of T 2,app and D eff were obtained by performing a regularized inversion with an exponential kernel without a non-negativity constraint [75,104]. Parameterization was done as described in [78] without manually fine-tuning the parameters.…”
Section: Discussionmentioning
confidence: 99%
“…In principle, a more reliable method would be to repeat an experiment multiple times and determine the rms noise from the variation of the signal amplitude. However, in addition to thermal noise, such a procedure also includes multiplicative noise, which does not affect the fundamental detection limit as it scales proportionally with the signal and, at low SNR values, eventually gets overtaken by thermal noise [ 20 ]. Hence the selected method provides not only a simpler, but also a more robust way to estimate detection limits by masking contributions that become dominant at high SNR values only.…”
Section: Methodsmentioning
confidence: 99%