Extracting Time Profiles from 3D+t data (4D)
1 次查看(过去 30 天)
显示 更早的评论
Hi All,
I'm curious if anyone can provide a simple solution to this problem. I have a 4D data set (3D+time) and a 3D mask. In order to extract all the 1D time profiles using the combination, I am using the below method. My question is if anyone is aware of a faster/more simple way to accomplish this same task. Thank you all!
Cheers,
Edwin
temp = 3DMask;
[r,c,v] = ind2sub(size(temp),find(temp == 1));
%
for i = 1:size(r,1)
timeSeries(:,i) = Data_4D(r(i),c(i),v(i),:);
end
1 个评论
N/A
2020-11-13
I am also facing the same problem. Could you please elaborate what do you mean by "Data_4D"?.
采纳的回答
Dinesh Yadav
2019-10-3
The code is already well optimized, except parfor can be used in this case rather than just for to get the code running faster if size of 4D and 3D matrices are big.
The code cannot be vectorized as individual elements have to be selected based on the condition (find(temp==1)). We cannot use Boolean masking and reshaping as size of elements vary at each time step depending on the condition given. So I don’t think there is a way to further optimize the code but it can be effectively parallelized by using parfor command.
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Performance Profiling 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!