38 search results - page 5 / 8 » Iteratively reweighted algorithms for compressive sensing |
CORR
2011
Springer
13 years 2 months ago
2011
Springer
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
For compressive sensing, we endeavor to improve the recovery performance of the existing orthogonal matching pursuit (OMP) algorithm. To achieve a better estimate of the underlyin...
SECON
2008
IEEE
14 years 1 months ago
2008
IEEE
—Many sensing systems remotely monitor/measure an environment at several sites, and then report these observations to a central site. We propose and investigate several practical...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
A major enterprise in compressed sensing and sparse approximation is the design and analysis of computationally tractable algorithms for recovering sparse, exact or approximate, s...