MPC_DSM | R Documentation |
Multiple single linear models that minimize the total dispersion.
MPC_DSM(specdat, withBC = TRUE)
specdat |
A complex number vector of observed frequency domain data. |
withBC |
A logical parameter that enables/disables baseline correction after baseline correction |
This function is used to process phase error correction through multiple single linear models that minimize the total dispersion, followed by polynomial baseline correction when necessary.
A numeric vector of phase corrected absorption spectrum
Aixiang Jiang
Binczyk, F., Tarnawski, R., & Polanska, J. (2015). Strategies for optimizing the phase correction algorithms in Nuclear Magnetic Resonance spectroscopy. Biomedical Engineering Online, 14 Suppl 2(Suppl 2), S5. https://doi.org/10.1186/1475-925X-14-S2-S5
Liland KH, Almøy T, Mevik B (2010), Optimal Choice of Baseline Correction for Multivariate Calibration of Spectra, Applied Spectroscopy 64, pp. 1007-1016.
data("fdat")
mpc_dsm_phased1 <- MPC_DSM(fdat$frequency_domain)
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