FIT THE CURVE BASED ON SPLINES¶
Fits one or more input curves using cubic spline interpolation, producing a smoothed curve re-sampled at a specified number of points. Use this worker to regularise noisy or irregularly-sampled curves before downstream analysis or comparison.
When to use¶
Classification: process.
Tagged: curve_fit, interpolation, resample, smoothing, spline, splinify, transformations.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Curves In | curves_in | vector | — | One or more input curves (x/y vector pairs) to be spline-fitted; accepts multiple curves in a single pass. | |
| RADC | rad_c | scalar | 0.05 | Spline smoothing radius/tolerance parameter (RADC); dimensionless float, default 0.05 — increase to produce a smoother, less tightly fitted spline. | |
| Number Of Points | numberof_points | scalar | 100 | Number of evenly-spaced output points to resample the fitted spline onto; integer, default 100 — increase for higher output resolution. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| curves_splinify_output_1 | curves_splinify_output_1 | vector | Spline-fitted and resampled output curve(s) corresponding to each input curve, returned as x/y vector pairs at the requested number of points. |
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_splinify
Auto-generated from transformation schema. Worker id: curves_splinify. Schema hash: be2fe8eda01c. Hand-curated docs in workerexamples/ override this page when present.