Method ao/gapfilling


  GAPFILLING fills possible gaps in data.
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  DESCRIPTION: GAPFILLING interpolated data between two data
               segments. This function might be useful for possible
               gaps or corrupted data. Two different types of
               interpolating are available: linear and spline, the latter
               results in a smoother curve between the two data segments.
 
  CALL:        b = gapfilling(a1, a2, pl)
 
  INPUTS:      a1 - data segment previous to the gap
 	             a2 - data segment posterior to the gap
 	             pl - parameter list
 
  OUTPUTS:     b - data segment containing a1, a2 and the filled data
                   segment, i.e., b=[a1 datare_filled a2].
 
  Parameters Description
 
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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
gapfilling
METHOD 'linear'
  • 'linear'
  • 'spline'
The method used to interpolate data.
ADDNOISE 0
  • 0
  • 1
Noise can be added to the interpolated data.
This noise is defined as random variable with
zero mean and variance equal to the high-frequency
noise of the first input.

Example

plist('METHOD', 'linear', 'ADDNOISE', [false])

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Some information of the method ao/gapfilling are listed below:
Class name ao
Method name gapfilling
Category Signal Processing
Package name ltpda
VCS Version 967b0eec0dece803a81af8ef54ad2f8c784b20b2
Min input args 1
Max input args -1
Min output args 1
Max output args -1
Can be used as modifier 0
Supported numeric types {'double'}




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