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by Yubo "Paul" Yang

Compressive Sensing

Compressive sensing takes advantage of sparsity to reconstruct full signal from sparse samples in a way that is not limited by Nyquist-Shannon. It effectively performs compression at the time of sensing so that few detector/sensors are needed. It has many practical applications such as single-pixel camera, digital-to-analog conversion, and lattice dynamics in atomic simulations. Read More ›

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Every other week, one of us will learn an algorithm, present and upload a brief summay.

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We meet every other Thusday from 1:00-2:00 pm CST in Loomis 322.

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We will archive covered algorithms here, as well as post potentially interesting algorithms to be covered.

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