- COMPUTE THE SIMILARITY CORRELATION OF TWO CURVES*
Computes a similarity correlation score between two curves using one or more comparison methods (peaks, integrals, normalized cross-correlation, or critical points). Both curves are resampled to a common grid before comparison, and a scalar similarity metric is returned. Use this worker to quantitatively assess how closely two time-history or XY curves agree.
When to use¶
Classification: process.
Tagged: correlation, critical_points, cross_correlation, curve_comparison, digitize, integrals, peaks, similarity.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Curve 1 | curve1 | vector | — | Base (reference) curve supplied as an XY vector; typically the simulation or test channel against which curve2 is compared. | |
| Curve 2 | curve2 | vector | — | Second (target) curve supplied as an XY vector; compared point-by-point against curve1 after both are resampled to the same grid. | |
| Digitize Points | numberof_pointsto_digitize | scalar | 0 | Number of uniformly spaced points used to re-digitize both curves before comparison; default 0 lets the worker use its internal default (100 points) — increase for higher-resolution curves. | |
| Min Ratio To Match | min_ratiotomatch | scalar | 0.01 | Minimum amplitude ratio (relative to the peak of curve1) below which data points are excluded from the comparison; default 0.01 (1 %) filters out near-zero noise regions. | |
| Check Types | check_types | float | all | Comparison method(s) to apply: ‘all’ runs every available check; individual options are ‘peaks’, ‘normalized_cross_correlation’, ‘integrals’, and ‘critical_points’ — default is ‘all’. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| curves_similarity_correlation_output_1 | curves_similarity_correlation_output_1 | scalar | Scalar similarity score (dimensionless, typically 0–1) representing the overall agreement between the two input curves for the selected check type(s). |
Disciplines¶
- data.correlation
- data.curve.pair
- 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_similarity_correlation
Auto-generated from transformation schema. Worker id: curves_similarity_correlation. Schema hash: c4772b72b27b. Hand-curated docs in workerexamples/ override this page when present.