Baselineds

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Revision as of 13:47, 19 December 2018 by imported>Scott (Description)
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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.

NOTE: To use "old" version of baseline preprocess methods turn "newbaselineview" off with the following command (or with preferences expert):

setplspref('preprocatalog','newbaselineview','off');

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

  • baselined_data = data with baseline removed.
  • baselines = baselines removed from data.

See Also

baseline, datafit_engine, preprocess, wlsbaseline