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

from cs.IT updates on

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.



Fill in your details below or click an icon to log in: 徽标

You are commenting using your account. Log Out /  更改 )

Google+ photo

You are commenting using your Google+ account. Log Out /  更改 )

Twitter picture

You are commenting using your Twitter account. Log Out /  更改 )

Facebook photo

You are commenting using your Facebook account. Log Out /  更改 )


Connecting to %s