Estimation of Hidden State Variables of the Intracranial System Using Constrained Nonlinear Kalman Filters.
Xiao HuValeriy NenovMarvin BergsneiderThomas C. GlennPaul M. VespaNeil MartinPublished in: IEEE Trans. Biomed. Eng. (2007)
Keyphrases
- state variables
- kalman filter
- state estimation
- state space
- dynamic systems
- kalman filtering
- particle filter
- variable structure
- rao blackwellized particle filter
- causal graph
- particle filtering
- object tracking
- random variables
- complex systems
- adaptive neural
- nearest neighbor
- dynamic programming
- optical flow
- reinforcement learning
- sliding surface
- feature extraction