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I feel like there's some information theoretic approach which could be leveraged here, and maybe in similar systems - ie. just from the video we can work out

- The difference in video frame rate vs sound frequency based on the period of the wave

- Maybe the structure of the wave itself based on the waveform, although maybe not.

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Nyquist-Shannon: http://en.wikipedia.org/wiki/Nyquist%E2%80%93Shannon_samplin...

Wait, if I'm interpreting the Shannon-Nyquist theorem properly here, doesn't that mean since the signal is 24 Hz that we'd want a 48 FPS frame rate to accurately get the signal?

If you want to reproduce the signal, yes.

But in this case they don't want that. They want the illusion that the water is standing still, which you get by sampling the signal at the exact same point in every cycle. So to the sampler/viewer it looks like there is no signal at all.

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