Stdgen: Difference between revisions
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imported>Jeremy (Importing text file) |
imported>Jeremy (Importing text file) |
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:[stdmat,stdvect] = stdgen(spec1,spec2,''win,options'') | :[stdmat,stdvect] = stdgen(spec1,spec2,''win,options'') | ||
===Description=== | ===Description=== | ||
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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. | 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 | * '''spec1''' = ''M'' by ''N1'' spectra from the standard instrument, and | ||
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* '''spec2''' = ''M'' by ''N2'' spectra from the instrument to be standarized. | * '''spec2''' = ''M'' by ''N2'' spectra from the instrument to be standarized. | ||
==== | ====Optional Inputs==== | ||
* '''''win''''' = [], empty or a 1 or 2 element vector. | * '''''win''''' = [], empty or a 1 or 2 element vector. | ||
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* '''If''' win is not input it is set to zero and direct standardization is used. | * '''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 | * '''stdmat''' = the transform matrix, and | ||
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===Options=== | ===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 | * '''tol''': [ {0.01} ], tolerance used in forming local models (it equals the minimum relative size of singular values to include in each model), and |
Revision as of 17:35, 3 September 2008
Purpose
Piecewise and direct standardization transform generator.
Synopsis
- [stdmat,stdvect] = stdgen(spec1,spec2,win,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');.