SMOOTH THE CURVES¶
Applies iterative moving-average smoothing to one or more curves using forward, backward, forward-backward, or regression passes. Use this worker to reduce high-frequency noise in time-history or signal curves before further processing or KPI extraction.
When to use¶
Classification: process.
Tagged: curve, forward_backward, iterative, moving_average, noise_reduction, regression, signal, smooth.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Curves In | curves_in | vector | — | One or more input curves to be smoothed; accepts any time-history or XY curve collection supported by the platform. | |
| smoothtype | smoothtype | string | forward_backward | Smoothing algorithm direction: ‘forward_backward’ (default, symmetric, recommended for most cases), ‘forward’, ‘backward’, or ‘regression’ (least-squares fit over the window). | |
| num_points | num_points | integer | 4 | Half-window size (integer, default 4) defining how many neighbouring points are included in each smoothing pass; larger values produce heavier smoothing. | |
| Iterations | iterations | scalar | 1 | Number of times the chosen smoothing pass is applied sequentially (1–5, default 1); increase to achieve stronger noise suppression at the cost of more signal attenuation. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| curves_smooth_iterative_output_1 | curves_smooth_iterative_output_1 | vector | Smoothed output curves, one per input curve, retaining the original X-axis spacing with high-frequency noise attenuated according to the chosen method, window size, and iteration count. |
Disciplines¶
- data.curve.transform
- data.signal_processing
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=curves_smooth_iterative
Auto-generated from transformation schema. Worker id: curves_smooth_iterative. Schema hash: 41fd76ff2212. Hand-curated docs in workerexamples/ override this page when present.