Compressed Sensing: Theory and Applications

Details Compressed Sensing: Theory and Applications Compressed Sensing: Theory and Applications

2012-03-15

arxiv.org/abs/1203.3815v1

Computer Science

Information Theory

22 pages, 2 figures

Scientific paper

Compressed sensing is a novel research area, which was introduced in 2006, and since then has already become a key concept in various areas of applied mathematics, computer science, and electrical engineering. It surprisingly predicts that high-dimensional signals, which allow a sparse representation by a suitable basis or, more generally, a frame, can be recovered from what was previously considered highly incomplete linear measurements by using efficient algorithms. This article shall serve as an introduction to and a survey about compressed sensing.

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