noise.est.RdEstimation of noise level of 1D spectrum
noise.est(X, ppm, where = c(14.6, 14.7))
| X | num matrix, NMR data with rows representing spectra. |
|---|---|
| ppm | num array describing chemical shift positions, its length equals to |
| where | Signal free region across all NMR spectra (see Details). |
Array of noise level for each spectrum.
Estimation of noise level in NMR spectra. This is useful for quality control checks (e.g., before and after spectral normalisation). Noise estimation requires a signal-free ppm region, usually this is the extreme ends of the spectra. Noise is estimated after baseline correction using the 95th quantile. The function requires a minimum number of 50 data points.
NA
Other NMR:
alignSegment(),
bline(),
excise1d(),
get.idx(),
lw(),
matspec(),
normErectic(),
plotload(),
ppick(),
read1d_raw(),
read1d(),
specload(),
spec(),
stocsy1d_metabom8-class,
stocsy(),
storm()
torben.kimhofer@murdoch.edu.au
load(covid)#> Error in load(covid): object 'covid' not foundnoise.est(X, ppm)#> Error in noise.est(X, ppm): No or too few data points for noise estimation!