How to create a symmetric 2D distribution from a novel distribution
56 views (last 30 days)
Show older comments
This question was flagged by Sebastian Daneli
Hi
I have a distribution, lets call it f, represented as a vector. Essentially I would like to turn this into a point spread function to deconvolute some images. For this i need a symmetric 2D distribution of this distribution from above. How do I effectively accomplish this? I share my function bellow, it that is of any help.
Thanks in advance
load('f.mat');
figure()
plot(f)
1 Comment
John D'Errico
on 9 Oct 2024
Edited: John D'Errico
on 9 Oct 2024
What does it mean (in terms of mathematics) to get a uniform 2-d distribution, from something that is distinctly not uniform? I'm sorry, but you are asking to do something that makes no mathematical sense. It might be a question of knowing the right language, whatever. But it means you need to explain far more clearly what you want to do.
Answers (1)
the cyclist
on 9 Oct 2024
Edited: the cyclist
on 9 Oct 2024
I agree with @John D'Errico that we need more description. Do you just mean that you want to replicate f across another dimension? Like this?
load('f.mat','f')
f2 = repmat(f,1,10);
surf(f2)
3 Comments
Torsten
on 10 Oct 2024
Should your data be the y-values of a probability density function ? If yes: what are the corresponding x-values ?
See Also
Categories
Find more on Annotations in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!