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Multivariant Kernel Regression and Smoothing

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Multivariant Kernel Regression and Smoothing

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20 Mar 2008 (Updated )

A multivariant Gaussian kernel regression and smoothing tool.

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Description

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.

Acknowledgements

Kernel Smoothing Regression inspired this file.

This file inspired Efficient Kernel Smoothing Regression Using Kd Tree.

MATLAB release MATLAB 7.5 (R2007b)
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Comments and Ratings (3)
03 Mar 2011 Masoud

as by default z=x. When mean(x)=0, the r.f will be NAN!

15 Jul 2010 Turkay YILDIZ  
05 Apr 2009 V. Poor  
Updates
24 Mar 2008

update code with vectorization

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