7 search results - page 1 / 2 » Toeplitz Compressed Sensing Matrices With Applications to Sp... |
TIT
2010
12 years 11 months ago
2010
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
CDC
2010
IEEE
13 years 1 days ago
2010
IEEE
In this paper, we derive concentration of measure inequalities for compressive Toeplitz matrices (having fewer rows than columns) with entries drawn from an independent and identic...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Abstract--We apply Guo and Wang's relaxed belief propagation (BP) method to the estimation of a random vector from linear measurements followed by a componentwise probabilisti...
CORR
2007
Springer
13 years 5 months ago
2007
Springer
We consider signals and operators in finite dimension which have sparse time-frequency representations. As main result we show that an S-sparse Gabor representation in Cn with re...
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...