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Mean or standard deviation are usually computed for whole part of the analysed signal. However, sometimes we would like to know how this quantities are changing in the data flow. MEANSTDF compute the expected mean and standard deviation values using user defined window for every data position. The output can be useful while nonlinear detrending or stationarity analysis.
Cite As
Adam Nieslony (2026). MeanStdF (https://au.mathworks.com/matlabcentral/fileexchange/26205-meanstdf), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: Progressive mean and standard deviation.
General Information
- Version 1.0.0.0 (2.46 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
