441 search results - page 18 / 89 » Sparse Recovery Using Sparse Random Matrices |
66
Voted
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Sparse representation in compressive sensing is gaining increasing attention due to its success in various applications. As we demonstrate in this paper, however, image sparse rep...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of measurements. The results in the literature have focuse...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The aim of compressed sensing is to recover attributes of sparse signals using very few measurements. Given an overall bit budget for quantization, this paper demonstrates that th...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
FPGA
2005
ACM
15 years 3 months ago
2005
ACM
Floating-point Sparse Matrix-Vector Multiplication (SpMXV) is a key computational kernel in scientific and engineering applications. The poor data locality of sparse matrices sig...