Sciweavers

441 search results - page 17 / 89
» Sparse Recovery Using Sparse Random Matrices
Sort
View
ICIP
2008
IEEE
15 years 11 months ago
Spatio-spectral reconstruction of the multispectral datacube using sparse recovery
Multispectral scene information is useful for radiometric graphics, material identification and imaging systems simulation. The multispectral scene can be described as a datacube,...
Manu Parmar, Steven Lansel, Brian A. Wandell
CPHYSICS
2007
222views more  CPHYSICS 2007»
14 years 9 months ago
JADAMILU: a software code for computing selected eigenvalues of large sparse symmetric matrices
A new software code for computing selected eigenvalues and associated eigenvectors of a real symmetric matrix is described. The eigenvalues are either the smallest or those closes...
Matthias Bollhöfer, Yvan Notay
NIPS
2008
14 years 11 months ago
Resolution Limits of Sparse Coding in High Dimensions
This paper addresses the problem of sparsity pattern detection for unknown ksparse n-dimensional signals observed through m noisy, random linear measurements. Sparsity pattern rec...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
CORR
2010
Springer
114views Education» more  CORR 2010»
14 years 10 months ago
Sequential Compressed Sensing
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sens...
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Wills...
SIAMSC
2008
132views more  SIAMSC 2008»
14 years 9 months ago
Stochastic Preconditioning for Diagonally Dominant Matrices
Abstract. This paper presents a new stochastic preconditioning approach for large sparse matrices. For the class of matrices that are row-wise and column-wise irreducibly diagonall...
Haifeng Qian, Sachin S. Sapatnekar