PERFORMS A AUTO-CORRELATION ANALYSIS ON A CURVE¶
Computes the auto-correlation of a single input curve, measuring how the signal correlates with a time-lagged version of itself. Use this worker to detect periodicity, repeating patterns, or signal self-similarity in time-series data.
When to use¶
Classification: process.
Tagged: auto_correlation, correlation, curve, periodicity, signal_processing, time_series.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Input Curve | curve_1 | vector | — | Input curve (x/y vector) on which auto-correlation is computed; x typically represents time or frequency and y the signal amplitude — leave unconnected to run with a default test signal. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| curve_auto_correlation_output_1 | curve_auto_correlation_output_1 | vector | Resulting auto-correlation curve where x represents the lag values and y represents the normalized correlation coefficient at each lag, ranging from -1 to 1. |
Disciplines¶
- data.curve.transform
- data.signal_processing
- data.statistics
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=curve_auto_correlation
Auto-generated from transformation schema. Worker id: curve_auto_correlation. Schema hash: d28a6fd463f8. Hand-curated docs in workerexamples/ override this page when present.