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)) |
Some information of the method ao/trends are listed below: | |
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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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