17 search results - page 2 / 4 » Algorithms for robust linear regression by exploiting the co... |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
This paper develops a new class of algorithms for signal recovery in the distributed compressive sensing (DCS) framework. DCS exploits both intra-signal and inter-signal correlati...
TSP
2010
12 years 12 months ago
2010
We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin ...
ICASSP
2009
IEEE
14 years 1 days 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...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
The recent upsurge of research toward compressive sampling and parsimonious signal representations hinges on signals being sparse, either naturally, or, after projecting them on a...