Expand description
Linear / Extended Kalman filtering, RTS smoothing, EM parameter learning, Unscented Kalman Filter, and Particle Filter.
Re-exports§
pub use ekf::ExtendedKalmanFilter;pub use ekf::ExtendedKalmanResult;pub use kalman_em::KalmanEmConfig;pub use kalman_em::kalman_em;pub use kalman_filter::KalmanFilter;pub use kalman_filter::KalmanResult;pub use particle::ParticleConfig;pub use particle::ParticleFilter;pub use particle::ParticleResult;pub use rts_smoother::RtsResult;pub use rts_smoother::rts_smoother;pub use ukf::UkfParams;pub use ukf::UkfResult;pub use ukf::UnscentedKalmanFilter;
Modules§
- ekf
- Extended Kalman Filter with closure-provided non-linear dynamics and Jacobians.
- kalman_
em - EM (Shumway-Stoffer) parameter learning for the linear Gaussian state-space model.
- kalman_
filter - Linear Kalman filter.
- linalg
- Tiny dense linear-algebra helpers for Kalman filtering.
- particle
- Particle filter (SIR — Sequential Importance Resampling).
- rts_
smoother - Rauch-Tung-Striebel (RTS) backward smoother.
- ukf
- Unscented Kalman Filter (Julier & Uhlmann 1997 / Wan & van der Merwe 2000).