COMPUTE POINT-WISE SQ-DIFFERENCE WITH VARIANCEFFT¶
Computes the point-wise squared difference of a curve from its variance, using an FFT-based variance calculation. Use this worker to quantify how much each sample point deviates (in squared terms) from the signal’s overall variance.
When to use¶
Classification: process.
Tagged: curve, fft, point-wise, signal, squared_difference, transform, variance.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Curve | curve | vector | — | Input time-history or XY curve (vector of paired X/Y values) whose point-wise squared deviation from variance will be computed; optional — leave unconnected only if the worker is used in a default/passthrough context. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| Sq Difference from Variance | curve_variance_o1 | vector | Output curve (vector) containing the point-wise squared difference between each sample of the input curve and the FFT-derived variance of the signal. |
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=curve_variance
Auto-generated from transformation schema. Worker id: curve_variance. Schema hash: f1d20bd21487. Hand-curated docs in workerexamples/ override this page when present.