Baselineds: Difference between revisions
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imported>Scott (Created page with "===Purpose=== Wrapper for baselining functions. ===Synopsis=== :[baselined_data,baselines] = baselineds(spec,options); %Calibrate and apply. : spec = baselineds(baselined_d...") |
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* '''algorithm''' : [ {'wlsbaseline'} | 'baseline' | 'whittaker' | 'datafit'] | * '''algorithm''' : [ {'wlsbaseline'} | 'baseline' | 'whittaker' | 'datafit'] | ||
:: wlsbaseline - Baseline subtraction using iterative asymmetric least squares algorithm. | :: [[wlsbaseline]] - Baseline subtraction using iterative asymmetric least squares algorithm. | ||
:: baseline - Subtracts a polynomial baseline offset from spectra. | :: [[baseline]] - Subtracts a polynomial baseline offset from spectra. | ||
:: whittaker - Baseline subtraction using Whittaker filter. | :: [[wlsbaseline | whittaker]] - Baseline subtraction using Whittaker filter. | ||
:: datafit - Asymmetric least squares baselining. | :: [[datafit_engine | datafit]] - Asymmetric least squares baselining. | ||
* '''order''' : positive integer for polynomial order {default =1}. | |||
* '''wlsbaseline_options''' : see wlsbaseline.m. | |||
* '''whittaker_options''' : see wlsbaseline.m. | |||
* '''baseline_freqs''' : wavenumber or frequency axis vector, see baseline.m. | |||
* '''baseline_range''' : baseline regions, see baseline.m. | |||
* '''baseline_options''' : see baseline.m. | |||
* '''datafit_options''' : see datafit_engine.m. NOTE: 'lambdas' and 'trbflag' options have defaults updated for baselining. | |||
===Outputs=== | ===Outputs=== | ||
Revision as of 14:38, 17 December 2018
Purpose
Wrapper for baselining functions.
Synopsis
- [baselined_data,baselines] = baselineds(spec,options); %Calibrate and apply.
- spec = baselineds(baselined_data,baselines); %Undo
Description
Wrapper for baselining functions.
Inputs
- spec = M by N matrix of data to be baslined (class "double" or "dataset").
Options
options = a structure array with the following fields:
- plots : [ {'none'} | 'final' ] governs plotting.
- algorithm : [ {'wlsbaseline'} | 'baseline' | 'whittaker' | 'datafit']
- wlsbaseline - Baseline subtraction using iterative asymmetric least squares algorithm.
- baseline - Subtracts a polynomial baseline offset from spectra.
- whittaker - Baseline subtraction using Whittaker filter.
- datafit - Asymmetric least squares baselining.
- order : positive integer for polynomial order {default =1}.
- wlsbaseline_options : see wlsbaseline.m.
- whittaker_options : see wlsbaseline.m.
- baseline_freqs : wavenumber or frequency axis vector, see baseline.m.
- baseline_range : baseline regions, see baseline.m.
- baseline_options : see baseline.m.
- datafit_options : see datafit_engine.m. NOTE: 'lambdas' and 'trbflag' options have defaults updated for baselining.
Outputs
- xcorr = the scaled data (xcorr will be the same class as x)
- mins = vector of minima for each row (or column)
- maxs = vector of maxima for each row (or column)