| LTPDA Toolbox™ | contents | ![]() |
INTERPMISSING interpolate missing samples in a time-series. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 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 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
| Method Details | |
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| Access | public |
| Defining Class | ao |
| Sealed | 0 |
| Static | 0 |
| Sets for this method … |
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| Default |
Default |
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| no description | |||
| Key | Default Value | Options | Description |
| interpmissing | |||
| D | 1.5 | none | The time interval tolerance for finding missing samples. |
| interp | |||
| METHOD | 'auto' |
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Specify the interpolation method. Choose between:
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Example |
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| plist('D', [1.5], 'METHOD', 'auto') |
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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 |
| Can be used as modifier | 1 |
| Supported numeric types | {'double'} |
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Method: ao/interp | Method: ao/intersect | ![]() |
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