441 search results - page 8 / 89 » Sparse Recovery Using Sparse Random Matrices |
CIMAGING
2009
13 years 8 months ago
2009
The surface reflectance function of many common materials varies slowly over the visible wavelength range. For this reason, linear models with a small number of bases (5-8) are fr...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
There has been a significant interest in the recovery of low-rank matrices from an incomplete of measurements, due to both theoretical and practical developments demonstrating th...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
ISSAC
2007
Springer
14 years 1 months ago
2007
Springer
The black box algorithm for separating the numerator from the denominator of a multivariate rational function can be combined with sparse multivariate polynomial interpolation alg...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
In this note, we address the theoretical properties of p, a class of compressed sensing decoders that rely on p minimization with p (0, 1) to recover estimates of sparse and compr...