I added a jupiter notebook that compares linear and circular correlation methods. #17
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
…pynb notebook. Also, I started a new notebook titels compare_correlations_algorithms.ipynb to make a comparison between circular and linear fft algorithms.
…b notebook. The compare_correlations_algorithms.ipynb notebook is completed and is ready for pull request.
|
Thanks. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Hello, @alexlib , I added a Jupiter notebook called compare_correlation_algorithms.ipynb that summarizes the discussion in Google groups dated by 5th of July 2024 (here is the link: https://groups.google.com/g/openpiv-users/c/qWvjyzEY-JA/m/1FcgN9MeAwAJ).
The notebook uses a real world example to see the effect of different correlation methods. It isn't meant to substitute the already existing notebook studying_correlations.ipynb. Rather, it is a new example with the focus on the effects of different correlations methods on velocity fields.
I also made minor grammatical corrections to the notebook compare_median_filters.ipynb.