Gaussian Convolution Filter
Filter to introduce spatial autocorrelation while keeping original distribution.
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
Simple script to apply a gaussian convolution filter to a matrix (e.g. of white noise) to introduce spatial correlation while (generally) preserving the original distribution .
Based on the approach of spatial moving averages according to Oksanen and Sarjakoski 2005: Error propagation analysis of DEM-based drainage basin delineation. International Journal of Remote Sensing 26 (14), 3085-3102
DOI:10.1080/01431160500057947
Note: Distribution is not preserved _exactly_. Approach is valid for equidistant matrices of values that are the result of a gaussian process. Please read the help/inline comments!
Plz give feedback or report bugs in the comments section!
Cite As
Felix Hebeler (2026). Gaussian Convolution Filter (https://ch.mathworks.com/matlabcentral/fileexchange/13641-gaussian-convolution-filter), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (1.25 KB)
-
No License
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 | Delete Link in Description, see if MLint works now... |
