Posts Tagged explained

The FFT definitively explained by me, a signal processing expert

The Fourier TransformHere’s how to properly explain the fast Fourier transform, or FFT: Okay, it’s a Fourier transform, or FT, right, but while you’re doing it, you fold the buckets and the coefficients like origami, see, yes, basically like a unicorn, so you have to cut the code here, and here, and here so the head will come out right, yes, that’s it, and this code over here, it only runs if the unicorn is facing south, plus, you pull its tail so it makes little unicorn poops,uni and those have to go back into the unicorn’s little feed bin for next time around, because otherwise, the feedbin is too sweet, see, and the buckets are all funny-like and time goes back to being partially frequency. And you don’t want that.

So that’s it, yeah, and I’ll need your code example by tomorrow morning. Class dismissed.

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Untangling FOV and "reach" for Canon Camera Bodies

A lot of people seem to be quite confused about the idea of camera “reach.” This idea relates to how much variance in magnification you actually get between different camera bodies. I thought I’d take a few minutes to clear this up once and for all. I assure you the following information explains the issue correctly. Once you’ve read and understood this post, you’ll have a perfect understanding of reach.

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