163 search results - page 11 / 33 » Explicit constructions for compressed sensing of sparse sign... |
CORR
2008
Springer
14 years 9 months ago
2008
Springer
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
CORR
2011
Springer
14 years 4 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...
ISCAS
2007
IEEE
15 years 4 months ago
2007
IEEE
— The new theory of compressive sensing enables direct analog-to-information conversion of compressible signals at subNyquist acquisition rates. We develop new theory, algorithms...
CISS
2010
IEEE
14 years 1 months ago
2010
IEEE
Abstract—Compressive sampling (CS) has emerged as significant signal processing framework to acquire and reconstruct sparse signals at rates significantly below the Nyquist rate...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
When sampling signals below the Nyquist rate, efficient and accurate reconstruction is nevertheless possible, whenever the sampling system is well behaved and the signal is well ...