Compressive Sensing is a way of sampling and reconstructing an analogue signal at a rate far lower than standard information theory would deem possible. It relies on the fact that most analogue signals have a structure of some kind that can be exploited to reconstruct them. Know this structure and the signal can be reconstructed using a sampling rate that is significantly lower than the Nyquist rate.
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