==================================================== Data Denoising with Weighted Centered Moving Average ==================================================== :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/