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3.6 | 5 ratings Rate this file 6 Downloads (last 30 days) File Size: 4.68 KB File ID: #1967 Version: 1.0
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16 Jul 2002 (Updated )

One-dimensional sliding-window arithmetic average of a signal.

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This function implements a one-dimensional smoothing filter, applying a sliding window to a numerical sequence. Such filtering replaces the center value in the window with the arithmetic mean computed among the points within the window.
When the sliding window is exceeding the lower or upper boundaries of the input vector, the average is computed only among the available points.
This function can be conveniently employed for smoothing one-dimensional noisy signals and its results are very similar to other "quick and dirty" smoothing techniques.
When compared to a standard first-order low-pass filter, it is important to note that the averaging performed here does not only involve the past history of the signal but the future samples as well.

I underline that the filtering by the present routine resembles what the median filter performs (see medfilt1()), although there is no "artifact" or transient responses at the beginning and the end of the signal, due to the presence of a non-zero offset in the data (see the screenshot).

MATLAB release MATLAB 6.1 (R12.1)
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Comments and Ratings (5)
24 Nov 2006 Siony Cole

Used to use this file. Now, i find the fast moving_average.m by carlos vargas, works with nans, and for matrix too... anyway, thanks michele

31 Oct 2006 K K

25 Feb 2004 Jan Mikkelsen

Well written .. and very usefull

25 Aug 2003 todd mackey

Inefficient and limited to 1D data only. Should use summed area tables.

01 Nov 2002

11 Apr 2016 1.0

BSD License update.

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