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Journal Club: Compressive sensing

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I would like to discuss the rapid development of compressive sensing in the past few years. As a starting point I would like to discuss the tutorial “An introduction to compressive sampling” by Emmanuel Candès and Michael Wakin, (IEEE Signal Processing Magazine, 25(2), pp. 21 – 30, March 2008). It can be downloaded from

http://dsp.rice.edu/cs

along with many other papers about compressive sensing. I would also like to discuss the possible application of compressive sensing to computer vision (e.g., the single pixel camera), machine learning problems, and radio astronomy.

This talk is part of the Machine Learning Journal Club series.

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