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- W1844265238 abstract "Publisher Summary Reference deconvolution is a comparatively simple, rapid, and robust data processing method. Its effects are readily predictable, and it keeps falsification of the experimental data to a minimum. Considerable improvements in spectral quality are obtainable in both 1D and 2D nuclear magnetic resonance (NMR) spectroscopy, with relatively little risk of the introduction of artefactual signals that could be misinterpreted. The signal-to-noise ratio of the resultant spectra remains close to that obtained for comparable conventional processing of the raw experimental data. More impressive results can sometimes be obtained by such methods as linear prediction and maximum entropy reconstruction, with spectacular improvements in signal-to-noise ratio (although not in the confidence with which signals can be identified), but such nonlinear methods are inherently riskier. The two approaches are complementary; it can for example be helpful to apply reference deconvolution before maximum entropy reconstruction, to circumvent the common requirement of maximum entropy algorithms that the spectral lineshape be a simple function such as a Lorentzian." @default.
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- W1844265238 date "1996-01-01" @default.
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- W1844265238 title "Chapter 16 Reference deconvolution in NMR" @default.
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- W1844265238 doi "https://doi.org/10.1016/s0922-3487(96)80053-0" @default.
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