Mathematics Colloquia and Seminars

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Compressed Sensing is a new theory of sampling, in which a signal is sampled and compressed simultaneously at a greatly reduced rate. Instead of sampling at specific points in time or space, Compressed Sensing proposes to sample general *linear combinations* of the signal values. Compressed Sensing is now rapidly developing in several communities. It involves challenges in Mathematics, Computer Science, Signal Processing and Engineering, see http://www.dsp.ece.rice.edu/cs/ I will give an introduction to Compressed Sensing in general, and describe the research program at UC Davis by Professor Thomas Strohmer, myself and our students.