82 search results - page 3 / 17 » Nonlinear signal processing vs. Kalman filtering |
ICASSP
2009
IEEE
14 years 22 days ago
2009
IEEE
In this paper, we re-examine the recently proposed distributed state estimators based on quantized innovations. It is widely believed that the error covariance of the Quantized In...
ICIP
2008
IEEE
14 years 7 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...
JCNS
2010
13 years 23 days ago
2010
Optimal filtering of noisy voltage signals on dendritic trees is a key problem in computational cellular neuroscience. However, the state variable in this problem -- the vector of...
CDC
2009
IEEE
13 years 9 months ago
2009
IEEE
— In this paper, an optimization-based adaptive Kalman filtering method is proposed. The method produces an estimate of the process noise covariance matrix Q by solving an optim...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
The bilateral filter is a nonlinear filter that smoothes a signal while preserving strong edges. It has demonstrated great effectiveness for a variety of problems in computer visio...