Batchalign

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Revision as of 20:06, 30 August 2012 by imported>Scott (→‎See Also)
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Purpose

Convert data columns based on matching ref col to target vector.

Synopsis

aligned = batchalign(data,ref_column,target,options)

Description

Stretch or contract data columns based on a reference (target) using given 'method'. Savgol options can be used to exaggerate transitions in data prior to cow.

Inputs

  • data = (nsample, nvar) dataset or double array containing data columns to align.
  • ref_column = scalar indicating the column # of data that we are going to match OR ref_vector which is a vector to use in match.
  • target = (nsample, 1) vector or dataset to which we are trying to match the ref_column or ref_vector.

Outputs

  • aligned: dataset or double array (depending on input data type) containing the aligned data. If it is a dataset of different number of rows from input then the class, axisscale and labels are set according to the closest row in input dataset.

Options

options = a structure array with the following fields:

  • method: [ 'linear' | {'cow'} | 'padwithnan' ] Alignment method.
  • savgolwidth: Number of points in savgol filter.
  • savgolorder: Order of savgol polynomial.
  • savgolderiv: [0,1,2...] Order of derivative to take of target and ref_column before doing alignment (default = 0).

Cow only options.

  • cow.segments : number of segments.
  • cow.slack: max range of warping.
  • cow.plots: Governs plotting with COW (0 = no plots).
  • cow.correlationpower: correlation power.
  • cow.forceequalsegs: Force equal segment lengths in "xt" and "xP".
  • cow.fixmaxcorrection: Fix maximum correction.

See Also

alignmat, cow, matchrows