Summarizes data using a sliding window without loops

This function is extremely fast calculating a sum, mean, etc, using no loops.
2,5K Downloads
Aktualisiert 25. Feb 2011

Lizenz anzeigen

This function will summarize a 1-D vector of data (i.e. 1 column) based on what the user specifies as the statistic (e.g. mean, sum, etc.). It uses no loops, so it is extremely fast. However, it will use up memory as a result. I've included memory checks such that if you do not have enough memory, it will perform the moving summary using loops. Thus what would take a few seconds, will take minute(s).

The function will summarize data over a moving window incrementing one value at a time. For example, if data are hourly and the user wants a 7-day average (i.e. 168 hours), the average will be computed for each 1-hour increment, sliding the 7-day window 1-hour at a time.

UPDATED: 10/14/2010 - streamlined function, uses less memory.
UPDATED: 10/14/2010 - no more guessing on memory usage. Exact solution is used.

Example syntax:
dataout = movingstat(datain,20,@sum);

Zitieren als

Jeff Burkey (2024). Summarizes data using a sliding window without loops (https://www.mathworks.com/matlabcentral/fileexchange/29029-summarizes-data-using-a-sliding-window-without-loops), MATLAB Central File Exchange. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R2010a
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
Kategorien
Mehr zu Performance and Memory finden Sie in Help Center und MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Veröffentlicht Versionshinweise
1.3.0.0

Based on comments received, I've modified the routine to use CONV where applicable.

1.2.0.0

One more update. I changed the memory test to be an exact solution using an error trap instead of guessing needed space. Again thanks to Kevin and Rob for making me think about it some more.

1.1.0.0

Improved function to use less memory.

1.0.0.0