8.6, due on December 8

I'm having a hard time understanding how to build a basis out of wavelet vectors. It's not immediately obvious to me how to know what phi functions belong to each V. Honestly, this section was hard because I didn't initially understand Haar wavelets from the last section

It's interesting to see that the FWT doesn't take as long as the FFT for a given input. When we practice with FWTs in the lab, I feel like I'll get better understanding of the concept then. I can see this being useful for all sorts of curve analyses when they need to be approximated but what you want to see is general trends.

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