The course contents are adopted from Dr. Lucas Parra's course for signal processing.
To view the class slides, make sure you have rise installed for your jupyter notebook, and use jupyter notebook to open the notebook, and click on the rise plugin button. (The slides doesn't work with with jupyter lab)
Again, create your own local repository, and using the same conda environment from the previous assignment, reproduce the figures on slides 2, 3, and 11. Make sure you work on your assignment in a submission branch, and push this submission branch to a remote GitHub repository after completion:
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Slide 2:
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Slide 3:
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Slide 11:
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For slide 11, create a copy of the image where there is no aliasing/artifacts (good resolution), and another copy that has more than 10 complete circle artifacts (terrible resolution).
Submit your assignment as a pull request on GitHub, merging your submission branch into your main or master branch. Then add axiezai@gmail.com as a reviewer to your pull request.