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Weighted move mean/rms using convolution, but solved the boundary problem. Same idea with build in movmean function.
Use fft, ifft to do the convolution, increase calculation speed for large kernal.
Core Function:
% 1D weighted move mean and move rms
s_f = wmovmean(s,w);
s_rms = wmovrms(s,w);
% 2D weighted move mean
s_f = wmovmean2(s,w)
Cite As
HS Ding (2026). Weighted_Move_Mean_RMS_1D_2D (https://uk.mathworks.com/matlabcentral/fileexchange/166896-weighted_move_mean_rms_1d_2d), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (454 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
