Sciweavers

Share
CORR
2008
Springer

Iterative Hard Thresholding for Compressed Sensing

8 years 4 months ago
Iterative Hard Thresholding for Compressed Sensing
Compressed sensing is a technique to sample compressible signals below the Nyquist rate, whilst still allowing near optimal reconstruction of the signal. In this paper we present a theoretical analysis of the iterative hard thresholding algorithm when applied to the compressed sensing recovery problem. We show that the algorithm has the following properties (made more precise in the main text of the paper)
Thomas Blumensath, Mike E. Davies
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where CORR
Authors Thomas Blumensath, Mike E. Davies
Comments (0)
books