The following pages link to Extended Chandrasekhar recursions (Q4306723):
Displaying 12 items.
- On efficient parametric identification methods for linear discrete stochastic systems (Q461977) (← links)
- State-space recursive least-squares. I. (Q951676) (← links)
- An extended inverse \(QR\) adaptive filtering algorithm (Q1341387) (← links)
- Square-root algorithms for maximum correntropy estimation of linear discrete-time systems in presence of non-Gaussian noise (Q1678568) (← links)
- Chandrasekhar-type filter for a wide-sense stationary signal from uncertain observations using covariance information (Q1826647) (← links)
- Adaptive Chandrasekhar filter for linear discrete-time stationary stochastic systems (Q1892061) (← links)
- A unified square-root approach for the score and Fisher information matrix computation in linear dynamic systems (Q2228730) (← links)
- A general approach to constructing parameter identification algorithms in the class of square root filters with orthogonal and \(J\)-orthogonal tranformations (Q2261784) (← links)
- Extension of the Chandrasekhar filter to the case of periodic state-space models (Q2472984) (← links)
- Constructing numerically stable Kalman filter-based algorithms for gradient-based adaptive filtering (Q2793963) (← links)
- Continuous-time adaptive Chandrasekhar filtering and prediction (Q3978739) (← links)
- Computing the Exact Fisher Information Matrix of Periodic State-Space Models (Q4904680) (← links)
