161 search results - page 2 / 33 » On the observability of linear systems from random, compress... |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper proposes a methodology to estimate the correlation model between a pair of images that are given under the form of linear measurements. We consider an image pair whose ...
CORR
2012
Springer
12 years 17 days ago
2012
Springer
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Abstract--We apply Guo and Wang's relaxed belief propagation (BP) method to the estimation of a random vector from linear measurements followed by a componentwise probabilisti...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...
TSP
2008
13 years 4 months ago
2008
This paper presents a novel and mathematically rigorous Bayes recursion for tracking a target that generates multiple measurements with state dependent sensor field of view and clu...