35 search results - page 2 / 7 » Sparse approximation property and stable recovery of sparse ... |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
In this paper, we examine the problem of overcomplete representations and provide new insights into the problem of stable recovery of sparse solutions in noisy environments. We es...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
In the last few years, we have witnessed an explosion in applications of sparse representation, the majority of which share the need for finding sparse solutions of underdetermine...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
A K∗ -sparse vector x∗ ∈ RN produces measurements via linear dimensionality reduction as u = Φx∗ + n, where Φ ∈ RM×N (M < N), and n ∈ RM consists of independent ...
SIGPRO
2010
13 years 3 months ago
2010
This short note studies a variation of the Compressed Sensing paradigm introduced recently by Vaswani et al., i.e. the recovery of sparse signals from a certain number of linear m...
CISS
2011
IEEE
12 years 8 months ago
2011
IEEE
—In compressive sensing (CS), the Restricted Isometry Property (RIP) is a powerful condition on measurement operators which ensures robust recovery of sparse vectors is possible ...