stdgen
Purpose
Piecewise and direct standardization transform generator.
Synopsis
[stdmat,stdvect] = stdgen(spec1,spec2,win,options)
options = stdgen('options')
Description
STDGEN
can be used to generate direct or piecewise direct standardization matrix with
or without additive background correction. It can also be used to generate the
transform using the “double window” method. The transform is based on spectra
from two instruments, or original calibration spectra and drifted spectra from
a single instrument.
INPUTS:
spec1 = M by N1 spectra from the standard
instrument, and
spec2 = M by N2 spectra from the instrument to
be standarized.
OPTIONAL INPUTS:
win = [], empty or a 1 or 2 element vector.
If win is a scalar then STDGEN uses a single window
algorithm,
and if win is a 2 element vector it
uses a double window algorithm.
win(1) = (odd) is the number of channels to
be used for each transform, and
win(2) = (odd) is the number of channels to
base the transform on.
If win is not input it is set
to zero and direct standardization is used.
options = a structure array discussed below.
OUTPUTS:
stdmat = the transform matrix, and
stdvect = the additive background
correction.
Note: if only one output argument is given, no background
correction is used.
Options
options = a structure array with the following fields:
tol: [ {0.01} ], tolerance used in forming local models (it equals
the minimum relative size of singular values to include in each model), and
maxpc: [ ], specifies the maximum number of PCs to be retained for each
local model {default: []}. maxpc
must be <= the number of transfer
samples. If maxpc is
not empty it supersedes tol.
The default options can be retreived using: options = stdgen('options');.
See Also
baseline, deresolv, distslct, mscorr, registerspec, stdfir, stdize, stdsslct
