Compressed Sensing: Theory and Applications. (arXiv:1203.3815v1 [cs.IT])

from cs.IT updates on arXiv.org http://arxiv.org/abs/1203.3815

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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