State estimations and noise identifications with intermittent corrupted observations via Bayesian variational inference
State estimations and noise identifications with intermittent corrupted observations via Bayesian variational inference explores A novel adaptive Kalman filter for state estimation in sensor networks with intermittent packet dropouts and corrupted observations.. Commercial viability score: 3/10 in State Estimation.
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