8.4, due on December 4

Now I know what antialiasing is in computer graphics! It makes so much sense now. It's cool to see how something as simple as the Nyquist value can tell you so much about the parameters of a given problem. The methods for antialiasing are intuitive as well, kind of in the same way as least-square solutions were in Volume 1.

It would be nice to get some intuition for why the Nyquist rate is twice the Nyquist value, and why the function becomes uniquely determined at that point and not before. Also, I'd like to run through a full example in class of how we can sample from a function, find the DFS, and perform ant-aliasing. That would help me understand the process a little better than before.

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