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
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Method Details |
|
Access |
public |
Defining Class |
ao |
Sealed |
0 |
Static |
0 |
Parameter Description
Sets for this method … |
Default |
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'
- 'pchip'
- 'cubic'
- 'v5cubic'
|
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 |
Package name |
ltpda |
VCS Version |
8ab8cbbc4bccf7543491a24448f4aae0b1be1c43 |
Min input args |
1 |
Max input args |
-1 |
Min output args |
1 |
Max output args |
-1 |
|
Method: ao/interp |
|
Method: ao/intersect |
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©LTP Team