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. 2016 Jul 25;65:205–216. doi: 10.1007/s10858-016-0049-6

Table 1.

Common processing operations

Operation Description
AUTOPHASE Automatic phasing of current vector
BCPOLY Baseline correction with polynomial
BCWHIT Baseline correction with smoothed line
CSHIFT Circular shift
DC Baseline correction by linear offset
EXPD Apodization with exponential decay
EXTRACT Extract a range of the spectrum (for example the left half of an amide detected spectrum)
FDSS Frequency domain solvent suppression
FT Fourier transform
GM Apodization with Lorentz to Gauss transform
HFT Hilbert tranform to recover imaginary components of real valued spectrum
IST Iterative soft thresholding of a 1D vector (used for 2D datasets)
ISTMATRIX Iterative soft thresholding of an nD matrix (used for 3D and higher datasets)
LP Extend the vector with linear prediction
LPR Replace starting points with linear prediction
MAG Magnitude calculation
PHASE Adjust the phase of the spectrum
POWER Power calculation
REGIONS Specify regions of the vector. Typically used prior to baseline correction.
REVERSE Reverse the spectrum
SB Apodization with a sine or cosine window
SCRIPT Execute a Python script. The current vector is accessible as a Python object named “vec”
TDCOMB Form linear combinations of time domain signal using specified coefficients
TDSS Time domain solvent suppression
ZF Zero fill

Complete list in Online Resource 1