89 search results - page 6 / 18 » Sparse Recovery by Non-convex Optimization -- Instance Optim... |
CORR
2007
Springer
13 years 7 months ago
2007
Springer
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Recent work has demonstrated that using a carefully designed sensing matrix rather than a random one, can improve the performance of compressed sensing. In particular, a welldesign...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Most bioimaging modalities rely on indirect measurements of the quantity under investigation. The image is obtained as the result of an optimization problem involving a physical m...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. In this paper, a K × N measurement matrix for compressed sensing ...