.. _auto_curve_smooth_iterative:

*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
------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20 20 20

   * - 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
-------

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   :header-rows: 1
   :widths: 20 20 20 20

   * - 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 <https://www.d3view.com/api/workflow/example?id=curve_smooth_iterative>`_

.. raw:: html

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