89 search results - page 8 / 18 » Sparse Recovery by Non-convex Optimization -- Instance Optim... |
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
This paper addresses source separation from a linear mixture under two assumptions: source sparsity and orthogonality of the mixing matrix. We propose efficient sparse separation...
ICMCS
2008
IEEE
14 years 1 months ago
2008
IEEE
In this paper, we study block codes that are optimized to recover some lost source data even in case when full recovery is not possible. Conventionally, block codes designed for p...
TIT
2010
13 years 2 months ago
2010
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
JMLR
2012
11 years 10 months ago
2012
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
TMI
2010
13 years 2 months ago
2010
We introduce a novel algorithm to address the challenges in magnetic resonance (MR) spectroscopic imaging. In contrast to classical sequential data processing schemes, the proposed...