Practicalities of Imaging by Compressive Sensing

Kevin Kelly
Rice University

In this talk I will emphasize both mathematical and optical issues associated with employing compressive mathematics in imaging. Examples will include adaptation, detection, video, and high-resolution microscopy. By highlighting such matters, the hope is to produce a more synergistic collaboration between mathematicians and
engineers.

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