.. _auto_curves_smooth_iterative:

*SMOOTH THE CURVES*
===================

Applies iterative moving-average smoothing to one or more curves using forward, backward, forward-backward, or regression passes. Use this worker to reduce high-frequency noise in time-history or signal curves before further processing or KPI extraction.

When to use
-----------

Classification: **process**.

Tagged: ``curve``, ``forward_backward``, ``iterative``, ``moving_average``, ``noise_reduction``, ``regression``, ``signal``, ``smooth``.

Inputs
------

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

   * - Label
     - ID
     - Type
     - Default
     - Required
     - Description
   * - Curves In
     - curves_in
     - vector
     - —
     - 
     - One or more input curves to be smoothed; accepts any time-history or XY curve collection supported by the platform.
   * - smoothtype
     - smoothtype
     - string
     - forward_backward
     - 
     - Smoothing algorithm direction: 'forward_backward' (default, symmetric, recommended for most cases), 'forward', 'backward', or 'regression' (least-squares fit over the window).
   * - num_points
     - num_points
     - integer
     - 4
     - 
     - Half-window size (integer, default 4) defining how many neighbouring points are included in each smoothing pass; larger values produce heavier smoothing.
   * - Iterations
     - iterations
     - scalar
     - 1
     - 
     - Number of times the chosen smoothing pass is applied sequentially (1–5, default 1); increase to achieve stronger noise suppression at the cost of more signal attenuation.

Outputs
-------

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

   * - Label
     - ID
     - Type
     - Description
   * - curves_smooth_iterative_output_1
     - curves_smooth_iterative_output_1
     - vector
     - Smoothed output curves, one per input curve, retaining the original X-axis spacing with high-frequency noise attenuated according to the chosen method, 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=curves_smooth_iterative <https://www.d3view.com/api/workflow/example?id=curves_smooth_iterative>`_

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   Auto-generated from <code>transformation</code> schema. Worker id: <code>curves_smooth_iterative</code>. Schema hash: <code>41fd76ff2212</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
   </p>