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Data Denoising with Holt-Winters Double Exponential Smoothing
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:doc:`/SingleStepClassifiers/CausalStep/index`

This step applies the *Holt-Winters Double Exponential Smoothing* algorithm to denoise the input time series data.

.. rubric:: Input Parameters

1. One-dimensional time series data

2. A real data smoothing parameter between 0 and 1

3. A real trend smoothing parameter between 0 and 1

.. rubric:: Output Parameters

1. Denoised time series data

.. rubric:: Workflow

.. image:: workflow.svg


.. rubric:: Algorithm

:doc:`/Algorithms/HoltWintersDoubleExponentialSmoothing/index`

.. rubric:: References

- NIST/SEMATECH e-Handbook of Statistical Methods

  `http://www.itl.nist.gov/div898/handbook <http://www.itl.nist.gov/div898/handbook>`__