SMOOTH THE CURVE

Applies iterative moving-average smoothing to a curve using forward, backward, or combined forward-backward passes over a configurable window of points. Use this worker to reduce noise in time-history or signal curves before downstream processing or KPI extraction.

When to use

Classification: process.

Tagged: curve, forward_backward, iterative, moving_average, noise_reduction, signal, smooth, time_history.

Inputs

Label ID Type Default Required Description
Curve In curve_in vector   Input curve (x/y vector) to be smoothed; accepts any time-history or signal curve in the platform’s standard vector format.
Smooth Type smoothtype string forward_backward   Direction of the moving-average pass: ‘forward_backward’ (default, symmetric, recommended for most signals), ‘forward’ (causal, left-to-right only), or ‘backward’ (right-to-left only).
Num Points num_points integer 4   Window size (integer, default 4) — number of consecutive points over which the local average is computed; larger values produce heavier smoothing.
Iterations iterations scalar 1   Number of times the smoothing pass is repeated (default 1; options up to 100); higher iteration counts progressively flatten the curve — increase when a single pass leaves residual noise.

Outputs

Label ID Type Description
curve_smooth_iterative_output_1 curve_smooth_iterative_output_1 vector Smoothed output curve (x/y vector) with the same domain as the input but with high-frequency noise attenuated according to the chosen smoothing type, 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=curve_smooth_iterative


Auto-generated from transformation schema. Worker id: curve_smooth_iterative. Schema hash: bfe4b7245aec. Hand-curated docs in workerexamples/ override this page when present.