Method ao/interpmissing


  INTERPMISSING interpolate missing samples in a time-series.
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  INTERPMISSING interpolate missing samples in a time-series. Missing samples
                are identified as being those where the time-span between one
                sample and the next is larger than d/fs where d is a
                tolerance value. Missing data is then placed in the gap in
                steps of 1/fs. Obviously this is only really correct for
                evenly sampled time-series.
 
  CALL:        bs = interpmissing(as)
 
  INPUTS:      as  - array of analysis objects
               pl  - parameter list (see below)
 
  OUTPUTS:     bs  - array of analysis objects, one for each input
 
 
  Parameters Description
 
  VERSION:     $Id: interpmissing.m,v 1.33 2012/01/18 13:18:01 mauro Exp $
 
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Method Details
Access public
Defining Class ao
Sealed 0
Static 0

Parameter Description

Default

no description
Key Default Value Options Description
D 1.5 none The time interval tolerance for finding missing samples.
METHOD 'spline'
  • 'nearest'
  • 'linear'
  • 'spline'
  • 'cubic'
Specify the interpolation method.
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Some information of the method ao/interpmissing are listed below:
Class name ao
Method name interpmissing
Category Signal Processing
CVS Version $Id: interpmissing.m,v 1.33 2012/01/18 13:18:01 mauro Exp $
Min input args 1
Max input args -1
Min output args 1
Max output args -1




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