A regularized and smoothed General Linear Kalman Filter for more accurate estimation of time-varying directed connectivity.
Mattia F. PagnottaGijs PlompDavid PascucciPublished in: EMBC (2019)
Keyphrases
- kalman filter
- accurate estimation
- kalman filtering
- object tracking
- particle filter
- state estimation
- mean shift
- bayesian filtering
- state space model
- extended kalman filter
- particle filtering
- least squares
- data sets
- data association
- motion parameters
- reduced order model
- closed form
- pairwise
- three dimensional
- machine learning