| LTPDA Toolbox™ | contents | ![]() |
TRENDS computes the trend statistics of the input time-series. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DESCRIPTION: TRENDS computes the trend statistics of the input time-series. CALL: b = trends(a, pl) Inputs: a - input time-series AOs Outputs: b - an array of collection objects, one per input time-series AO. 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 |
| trends | |||
| SEGLEN | 10 | none | The length in seconds of segments over which to compute the statistics. |
| NSEGS | [] | none | Choose the number of segments to split the data into for computing the statistics. This will override the segment length [seglen] parameter. |
| RANGES | {} [0x0] | none | Give numerical pairs which act as min/max ranges. Specify one per input time-series (as a cell-array), or a single range to apply to all. |
Example |
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| plist('SEGLEN', [10], 'NSEGS', [[]], 'RANGES', cell(0,0)) |
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| Some information of the method ao/trends are listed below: | |
|---|---|
| Class name | ao |
| Method name | trends |
| Category | Signal Processing |
| Package name | ltpda |
| Can be used as modifier | 1 |
| Supported numeric types | {'double'} |
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Method: ao/toSI | Method: ao/union | ![]() |
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