Similar to neural networks, compressed sensing offers a perspective to handle high-dimensional data and works on the standing assumption that a simple low complexity governs the data. Its core application targets efficient data acquisition from very few measurements. The reasonably young field arose in 2006 and has since then found numerous applications in signal- and image processing, electrical engineering, communication theory, imaging sciences, optics, radar technology, and medical imaging.

The 3. International MATHEON Conference "Compressed Sensing and its Applications”, which will take place from December 4-8, 2017, at the Technische Universität Berlin, focusses on this area. After the two previous meetings in 2013 and 2015, this year a second focus area will be deep learning

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