82 search results - page 8 / 17 » Nonlinear signal processing vs. Kalman filtering |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Particle filters (PF) and auxiliary particle filters (APF) are widely used sequential Monte Carlo (SMC) techniques. In this paper we comparatively analyse the Sampling Importanc...
ECCV
2002
Springer
14 years 8 months ago
2002
Springer
The context of this work is lateral vehicle control using a camera as a sensor. A natural tool for controlling a vehicle is recursive filtering. The well-known Kalman fil...
ICIP
2004
IEEE
14 years 9 months ago
2004
IEEE
Modelling textured images as AM-FM functions has been applied during the last years to texture analysis and segmentation tasks. In this paper we present some advances in two direc...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...
JCP
2007
13 years 7 months ago
2007
- The kinematic filter is a common tool in control and signal processing applications dealing with position, velocity and other kinematical variables. Usually the filter gain is gi...