Multivariant Kernel Regression and Smoothing
A multivariant Gaussian kernel regression and smoothing tool.
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
This function implements multivariant Gaussian kernel regression and smoothing. A few examples show how it can be used to smooth 3-d noisy images with missing data.
For tutorial purpose, the function is implemented in the simplest form. Therefore, it is particularly suitable for beginners to learn kernel regression.
The efficiency is improved in the updated version by searching neighbours in the effective range.
Cite As
Yi Cao (2026). Multivariant Kernel Regression and Smoothing (https://au.mathworks.com/matlabcentral/fileexchange/19279-multivariant-kernel-regression-and-smoothing), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: Kernel Smoothing Regression
Inspired: Efficient Kernel Smoothing Regression using KD-Tree
General Information
- Version 1.0.0.0 (118 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 | update to improve efficiency |
