Super resolution with aliased signal SKIP to Questions below if you want :

In super resolution I can create a high resolution signal from a low resolution signal.
But it is also possible that the low resolution signal contains aliasing. The problem with aliasing is that it cannot be distinguished between the real low resolution frequencies. But in super resolution you can make multiple low resolution measurements with aliasing and calculate the shift between the signals (afaik) that can help to reconstruct a higher resolution signal. Check some papers like here : 
Multi-Frame super resolution,
SR from aliased images 

What I am thinking is if I can make multiple shots from one scene with aliasing and construct a higher resolution image out of it, how could I apply this to vibration from a machine.
In the first paper google shows how they use the vibrations from a hand for taking multiple photos from one scene. The vibrations from a human hand help to capture different frequencies with aliasing. Later on, all merged can be used for super-resolution.

Questions:


I have a fixed sensor on a machine which basically means I have a
camera fixed on a stand(compare photo camera wich takes multiple pictures at same time from the same scene with aliasing to construct a higher resolution). How would this affect the super-resolution
in comparison to using different angles in parallel to have multiple measurements with different offsets?
Could I apply this on
vibration with making a long measurement, dividing the measurement
in different blocks and trying to merge them as they where different
captures, instead of using different angles?
I don’t think that you can do multi-frame super resolution in the traditional sense if there is no camera rel scene movement, nor if the camera applies «proper» Nyquistian spatial prefiltering?

I think of good old interlacing as an example of potential super resolution. You get a 2-frame cadence consisting of separate time and spatial samples, usually moderately filtered. If there is no movement, you can get up to double spatial resolution. If there is movement that can not be resolved, you get high temporal resolution.