188 search results - page 15 / 38 » Estimation error bounds for denoising by sparse approximatio... |
74
Voted
IPSN
2005
Springer
15 years 3 months ago
2005
Springer
We address the problem of selecting sensors so as to minimize the error in estimating the position of a target. We consider a generic sensor model where the measurements can be in...
ICA
2007
Springer
15 years 3 months ago
2007
Springer
In underdetermined blind source separation problems, it is common practice to exploit the underlying sparsity of the sources for demixing. In this work, we propose two sparse decom...
CISS
2011
IEEE
14 years 1 months ago
2011
IEEE
—In this work we address the problem of state estimation in dynamical systems using recent developments in compressive sensing and sparse approximation. We formulate the traditio...
JMLR
2012
13 years 4 days ago
2012
Sparse additive models are families of d-variate functions with the additive decomposition f∗ = ∑j∈S f∗ j , where S is an unknown subset of cardinality s d. In this paper,...
IROS
2007
IEEE
15 years 4 months ago
2007
IEEE
— This paper describes an approach to cooperative localization which finds its roots in robust estimation, employing an unknown-but-bounded error model for sensor measurements. ...