Pages that link to "Item:Q1678609"
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The following pages link to Generalized Kalman smoothing: modeling and algorithms (Q1678609):
Displaying 16 items.
- Smoothed state estimates under abrupt changes using sum-of-norms regularization (Q417799) (← links)
- Unified forms for Kalman and finite impulse response filtering and smoothing (Q522851) (← links)
- A box regularized particle filter for state estimation with severely ambiguous and non-linear measurements (Q1737913) (← links)
- Closed-form expressions and nonparametric estimation of COVID-19 infection rate (Q2125555) (← links)
- Fast robust methods for singular state-space models (Q2280717) (← links)
- Offline state estimation for hybrid systems via nonsmooth variable projection (Q2307561) (← links)
- Efficiency of minimizing compositions of convex functions and smooth maps (Q2330660) (← links)
- Boosting as a kernel-based method (Q2331677) (← links)
- Recursive maximum likelihood estimation with \(t\)-distribution noise model (Q2665639) (← links)
- An iterative Kalman smoother/least-squares algorithm for the identification of delta-ARX models (Q3161650) (← links)
- A Kalman-Filter Smoothing Approach for Extrapolations in Certain Dose-Response, Damage-Assessment, and Accelerated-Life-Testing Studies (Q4727257) (← links)
- Robust and Trend-Following Student's t Kalman Smoothers (Q5173266) (← links)
- Ensemble Kalman methods with constraints (Q5197872) (← links)
- A computationally efficient unscented Kalman smoother for ameliorated tracking of subatomic particles in high energy physics experiments (Q6155964) (← links)
- Online continuous time system identification in the presence of impulsive terms (Q6496736) (← links)
- Sequential maximum correntropy Kalman filtering (Q6563304) (← links)
