50 search results - page 1 / 10 » Kalman filtered Compressed Sensing |
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
In recent work, Kalman Filtered Compressed Sensing (KF-CS) was proposed to causally reconstruct time sequences of sparse signals, from a limited number of “incoherent” measure...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
In recent work, we studied the problem of causally reconstructing time sequences of spatially sparse signals, with unknown and slow time-varying sparsity patterns, from a limited ...
ICIP
2008
IEEE
14 years 6 months ago
2008
IEEE
We consider the problem of reconstructing time sequences of spatially sparse signals (with unknown and time-varying sparsity patterns) from a limited number of linear "incohe...
TSP
2010
12 years 11 months ago
2010
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
CDC
2009
IEEE
13 years 5 months ago
2009
IEEE
In this article, we investigate real-time estimation of flow states, average velocity and stage (water depth), in open channels using the measurements obtained from Lagrangian sens...