# Data Smoothing

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A simple method for smoothing noisy data is to use a moving average. The original data is partitioned into overlapping sets of a given sample size, typically by shifting along one step at a time. The new smoothed data is made by computing the average for each of the sets. Larger sample sizes result in greater smoothing. Using the median of the sample sets gives a moving median for the data and produces different smoothing effects.

Contributed by: Jon McLoone (March 2011)

Open content licensed under CC BY-NC-SA

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"Data Smoothing"

http://demonstrations.wolfram.com/DataSmoothing/

Wolfram Demonstrations Project

Published: March 7 2011