Moving window in time domain

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ecartman22
ecartman22 2021-7-19
评论： ecartman22 2021-7-20
I have a 3D matrix X*Y*T and I would like to apply a bandpass filter in the 3rd dimension. Instead of doing it on the complete series at once, I would like to have a window of size n for example (X,Y,1:n) on which I filter and then move to the next window (X,Y,n+1:2n) and so on. What is the most efficient way of doing this?

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Image Analyst
Image Analyst 2021-7-19
编辑：Image Analyst 2021-7-19
The convn() function.
n = 3;
kernel = repmat(1, 1, 1, n) / n;
smoothedImage = convn(image3d, kernel, 'same');
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Image Analyst
Image Analyst 2021-7-19
See untested code I added above. It will average over n slices in the z dimension then scan all over to hit every (x,y) location. The image can have more slices than n. For example, you can have 50 slices and n can be 3 then it will average over 3 slices at a time, then move down a slice and repeat until all slices have been scanned.
ecartman22
ecartman22 2021-7-20
Thanks a lot! This is averaging over a window. How could I change the kernel so it bandpass filters the window in the time domain?

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