First thing I thought of was those plastic ridged toys you got in cracker jacks that as you tilted them the image changed to show motion. Same concept.
It isn't aliasing though, there are no sinusoidal patterns here, it is just taking advantage of the fact that your brain will fill in the gaps between between the white spaces based on known shapes.
It isn't aliasing though, there are no sinusoidal patterns here, it is just taking advantage of the fact that your brain will fill in the gaps between between the white spaces based on known shapes.
My definition of aliasing could be off, but I didn't think aliasing only applied to sinusoidal signals. There's aliasing in images and by their intrinsic nature they aren't sinusoidal... although you could use fourier analysis to analyze the images
Aliasing doesn't need to be sinusoidal. It's a signal that is different from the actual signal due to sampling rates. An example of one I've dealt with in RL was a scope's sample rate that made a pulse train look like it would jump up in amplitude and slowly fall, when in reality, nothing changed.
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