Method ao/dropduplicates
DROPDUPLICATES drops all duplicate samples in time-series AOs.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
| 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 |
| dropduplicates |
| TOL |
0.0050000000000000001 |
none |
The time interval tolerance to consider two consecutive samples as duplicates. |
Example |
| plist('TOL', [0.0050000000000000001]) |
back to top
| Some information of the method ao/dropduplicates are listed below: |
| Class name |
ao |
| Method name |
dropduplicates |
| 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 |
1 |
| Supported numeric types |
{'double'} |
 |
Method: ao/downsample |
|
Method: ao/dsmean |
 |
©LTP Team