| Fundamentals of Statistics contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics......click here for more. |

Table of Contents Bivariate Data Smoothing Moving Average |
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| See also: savitzky-golay filter | |
Moving AverageThe moving average is a simple method to smooth measured data by replacing a data point with the average (or a weighted form of it) of its neighbors. In the most simple case, only three data points are taken and their average is calculated: The averaging window is moved over the data, shifting it by one time step after each calculation ("moving average"). The moving average can be denoted in a more general form by ![]() with k defining the width of the moving window, wi being the weights, and x(t) being the data values at time t. Note that a moving average is closely related to Savitzky-Golay
filtering and to FIR filters.
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