| SPC_DSM {NMRphasing} | R Documentation |
SPC_DSM
Description
A single linear model with dispersion summation minimization.
Usage
SPC_DSM(specdat, withBC = TRUE)
Arguments
specdat |
A complex number vector of observed frequency domain data |
withBC |
A logical parameter that enables/disables baseline correction after baseline correction |
Details
This function is to process phase error correction through a single linear model with dispersion summation minimization, followed by polynomial baseline correction if necessary
Value
A numeric vector of phase corrected absorption spectrum
Author(s)
Aixiang Jiang
References
Chen, L., Weng, Z., Goh, L., & Garland, M. (2002). An efficient algorithm for automatic phase correction of NMR spectra based on entropy minimization. Journal of Magnetic Resonance, 158, 1-2.
Ernst, R. R. (1969). Numerical Hilbert transform and automatic phase correction in magnetic resonance spectroscopy. Journal of Magnetic Resonance, 1, 7-26
Liland KH, Almøy T, Mevik B (2010), Optimal Choice of Baseline Correction for Multivariate Calibration of Spectra, Applied Spectroscopy 64, pp. 1007-1016.
Examples
data("fdat")
spc_dsm_phased1 <- SPC_DSM(fdat$frequency_domain)