Compute arbitrary function in sliding window

This function quickly computes an arbitrary function on a sliding window.


Updated 1 Sep 2016

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This function can compute any function which operates on column-oriented data over a sliding centered window on column-vector data. It is vectorized and thus trades memory-usage for speed.
For small window sizes this outperforms functions like SMOOTH. But it is not just a fast moving average. You can specify any function handle that operates on column-oriented data and produces a scalar output, e.g. median, std, prctile (with a scalar 'p'), range, min, sum. But you could also create your own function. For example the (quite obscure) function handle
@(X) all(bsxfun(@gt,X(ceil(size(X,1)/2),:),X(1:floor(size(X,1)/2),:)),1) &
will return a logical array indicating local maxima over a given window size reporting only the first maximum at plateaus.

Cite As

David J. Mack (2023). Compute arbitrary function in sliding window (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes

Updated description.