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
VERSION: $Id: dropduplicates.m,v 1.26 2012/01/18 13:14:47 mauro Exp $
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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 |
| CVS Version |
$Id: dropduplicates.m,v 1.26 2012/01/18 13:14:47 mauro Exp $ |
| Min input args |
1 |
| Max input args |
-1 |
| Min output args |
1 |
| Max output args |
-1 |
|
Method: ao/downsample |
|
Method: ao/dsmean |
 |
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