A variational Bayesian adaptive Kalman filter with dual Bernoulli masks jointly estimates states and unknown noise covariances under intermittent corrupted observations, converging to optimal bounds as sensor count increases.
Adaptive fixed-lag smoothing algorithms based on the variational bayesian method
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
State estimations and noise identifications with intermittent corrupted observations via Bayesian variational inference
A variational Bayesian adaptive Kalman filter with dual Bernoulli masks jointly estimates states and unknown noise covariances under intermittent corrupted observations, converging to optimal bounds as sensor count increases.