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arXiv · 1203.3815

Theory and Applications of Compressed Sensing

Abstract

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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BibTeXRIS

Gitta Kutyniok. 2012-08-28. Theory and Applications of Compressed Sensing. https://arxiv.org/abs/1203.3815

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