142 search results - page 7 / 29 » Recovery of Sparsely Corrupted Signals |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Spectral factorization is a classical tool in signal processing and communications. It also plays a critical role in X-ray crystallography, in the context of phase retrieval. In t...
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
This paper studies compressed sensing for the recovery of non-negative sparse vectors from a smaller number of measurements than the ambient dimension of the unknown vector. We fo...
SODA
2010
ACM
14 years 4 months ago
2010
ACM
We consider the following k-sparse recovery problem: design an m ? n matrix A, such that for any signal x, given Ax we can efficiently recover ^x satisfying
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...
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...