running average and standard deviation of vectors

computes the running average and standard deviation of vectors or matrices for a given window size.

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Updated Fri, 09 Aug 2013 20:13:01 +0000

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[running_avg, running_std] = running_mean_std( data, filter_width )
returns the running mean and standard deviations of either a vecotor or matrix.

for the case of data = vector of length N, it will return a running average and
standard deviation for a window of width filter_width. The output vectors have length N; however,
to avoid edge effects NAN's are placed in the front and end: running_avg(
[1:N, end+1-N:end]) = NAN.

for the case of data = vector of 2XN or NX2, it will return a running average and
standard deviations for the first row (column) and the second row (colum) for a window of width filter_width.
The output vectors have length N; however, to avoid edge effects NAN's are placed in the front and end: running_avg([1:N, end+1-N:end]) = NAN.

for the case of data = matrix MXN (i.e. a b/w picture), it will return a running average and
standard deviations for a filter, which is a filled circle with diameter filter_width.

Cite As

Stephan Koehler (2023). running average and standard deviation of vectors (https://www.mathworks.com/matlabcentral/fileexchange/42994-running-average-and-standard-deviation-of-vectors), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2007a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.1.0.0

expanded the range of input parameters, to include matrices (i.e. pictures).
Also extended the examples.

1.0.0.0