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Similar to CUMSUM but in this case each column is divided by an unity increasing weight.
For vectors it is equivalent to:
cumsum(x)./((1:length(x))')
The CUMMEAN(x,DIM) can be taken in any non-singleton dimension (DIM).
This function is useful to compare performance of an estimator with respect to the sample mean of a set of measurements.
Cite As
Leandro Barajas (2026). Cumulative Mean (https://www.mathworks.com/matlabcentral/fileexchange/1673-cumulative-mean), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired: Iterative Reweighted Least Squares
General Information
- Version 1.1.0.0 (1.65 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
