Date: November 30 2020
Summary: How sliding window analysis works and is implemented
Keywords: ##zettel #window #analysis #signal #processing #computerscience #algorithm #archive
The way sliding window analysis works is to analyze each voxel across an axis and project it to a final array that does not contain the axis upon which analysis took place. In this picture, each voxel across the z-axis at location
[1, 1], where
[1, 1] is a
(x, y) coordinate pair, is being summed up and divided by the number of values present to produce a simple mean. The voxels being summed are highlighted pink.
As shown in the above picture, the algorithm then continues this process until the array determined by the
y dimensions of the cube, in this case a
(3, 3) array, is filled.
Zelko, Jacob. Sliding Window Analysis. https://jacobzelko.com/11302020054836-sliding-window-analysis. November 30 2020.