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Data Denoising with Weighted Centered Moving Average
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:doc:`/SingleStepClassifiers/NonCausalStep/index`

This step denoises data similarly to the pre-processing step based on the *Centered Moving Average* algorithm, but additionally gives a weighting factor to each value within the filter width. Note that the applied algorithm doesn't need the timestamp information for the denoising procedure.

.. rubric:: Input Parameters

1. One-dimensional time series data

2. Filter width

3. Weights for values in the filter width

.. rubric:: Output Parameters

1. Denoised time series data

.. rubric:: Workflow

.. image:: workflow.svg


.. rubric:: Algorithm

:doc:`/Algorithms/WeightedCenteredMovingAverage/index`

.. rubric:: References

- http://demonstrations.wolfram.com/WeightedMovingAverage/