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Smoothing Temporal
This smoothing algorithm returns a smoothed value that is the sum of the weighted average of the previous observations and the current value.
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| Number | V | Incoming value to smooth | Number |
| Smoothing Factor | F | Smoothing Factor where, 0.0 < F < 1.0. Note: The higher the value, the longer it will take to converge. | Number |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Smoothed Value | S | The smoothed value | Number |
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