Method ao/dropduplicates
DROPDUPLICATES drops all duplicate samples in time-series AOs.
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DROPDUPLICATES drops all duplicate samples in time-series AOs. Duplicates
are identified by having a two consecutive time stamps
closer than a set tolerance.
CALL: bs = dropduplicates(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 |
TOL |
0.0050000000000000001 |
none |
The time interval tolerance to consider two consecutive samples as duplicates. |
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Some information of the method ao/dropduplicates are listed below: |
Class name |
ao |
Method name |
dropduplicates |
Category |
Signal Processing |
Package name |
ltpda |
VCS Version |
3542afe99dea25c636b7ac3b82a9f6f8be9d447d |
Min input args |
1 |
Max input args |
-1 |
Min output args |
1 |
Max output args |
-1 |
|
Method: ao/downsample |
|
Method: ao/dsmean |
 |
©LTP Team