**Date:** November 30 2020

**Summary:** How sliding window analysis works and is implemented

**Keywords:** ##zettel #window #analysis #signal #processing #computerscience #algorithm #archive

Not Available

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 `x`

and `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.

CC BY-SA 4.0 Jacob Zelko. Last modified: January 17, 2023.
Website built with Franklin.jl and the Julia programming language.