For ten points, identify this technique in signal processing which allows for sparse signals to be recovered from far fewer samples than would normally be possible.
Allen Yang developed a means of using this technique to recognize obscured and corrupted faces. Fornasier and Rauhut describe, in a paper named after this technique, how algorithms such as l1-minimization could be used for it. This technique has enabled the development of single-pixel cameras that take a series of measurements and use this technique to analyze them. A paper by Mark Davenport et al entitled  Introduction to [this]  describes how this technique could surpass bounds set by the   Nyquist-Shannon sampling theorem. For ten points, identify this technique in signal processing which allows for sparse signals to be recovered from far fewer samples than would normally be possible.
Allen Yang developed a means of using this technique to recognize obscured and corrupted faces.
compressed sensing