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') |
Some information of the method ao/interpmissing are listed below: | |
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Class name | ao |
Method name | interpmissing |
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'} |
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Method: ao/interp | Method: ao/intersect | ![]() |
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