spectrochempy.snip

snip(dataset, snip_width=50)[source]

Perform Simple Non-Iterative Peak (SNIP) detection algorithm.

See Ryan et al. [1988] .

Parameters:

dataset (NDDataset) – The input data.
snip_width (int, optional, default:50) – The width of the window used to determine the baseline using the SNIP algorithm.

Returns:

NDDataset – The baseline corrected dataset.

See also

Baseline: Manual baseline correction processor.
get_baseline: Compute a baseline using the Baseline class.
basc: Make a baseline correction using the Baseline class.
asls: Perform an Asymmetric Least Squares Smoothing baseline correction.
snip: Perform a Simple Non-Iterative Peak (SNIP) detection algorithm.
rubberband: Perform a Rubberband baseline correction.
autosub: Perform an automatic subtraction of reference.
detrend: Remove polynomial trend along a dimension from dataset.

Examples using `spectrochempy.snip`

Analysis CP NMR spectra

Analysis CP NMR spectra