25 search results - page 3 / 5 » The MUSIC Algorithm for Sparse Objects: A Compressed Sensing... |
CORR
2010
Springer
13 years 2 months ago
2010
Springer
1 minimization can be used to recover sufficiently sparse unknown signals from compressed linear measurements. In fact, exact thresholds on the sparsity, as a function of the ratio...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Recent works in modified compressed sensing (CS) show that reconstruction of sparse or compressible signals with partially known support yields better results than traditional CS...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
In the theory of compressed sensing, restricted isometry analysis has become a standard tool for studying how efficiently a measurement matrix acquires information about sparse an...
DCC
2008
IEEE
14 years 4 months ago
2008
IEEE
There are two main classes of decoding algorithms for "compressed sensing," those which run time time polynomial in the signal length and those which use sublinear resou...
COMPGEOM
2011
ACM
12 years 8 months ago
2011
ACM
We propose a framework for compressive sensing of images with local geometric features. Specifically, let x ∈ RN be an N-pixel image, where each pixel p has value xp. The image...