Data Smoothing
Data Smoothing
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.
External Links
External Links
Permanent Citation
Permanent Citation
Jon McLoone
"Data Smoothing"
http://demonstrations.wolfram.com/DataSmoothing/
Wolfram Demonstrations Project
Published: July 14, 2009