Optimal Filtering
Brian D. O. Anderson, J.B. Moore, Mansour Eslami
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- CONDENSATION—Conditional Density Propagation for Visual Tracking→Optimal FilteringLegacy edge — source detail unavailable
- On sequential Monte Carlo sampling methods for Bayesian filtering→Optimal FilteringLegacy edge — source detail unavailable
- Dynamic bayesian networks: representation, inference and learning→Optimal FilteringLegacy edge — source detail unavailable
- Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models→Optimal FilteringLegacy edge — source detail unavailable
- On Gibbs sampling for state space models→Optimal FilteringLegacy edge — source detail unavailable
- The Gaussian Mixture Probability Hypothesis Density Filter→Optimal FilteringLegacy edge — source detail unavailable
- Particle filters for positioning, navigation, and tracking→Optimal FilteringLegacy edge — source detail unavailable
- A Tutorial on Particle Filtering and Smoothing: Fifteen years later→Optimal FilteringLegacy edge — source detail unavailable
- A Tutorial on Particle Filtering and Smoothing: Fifteen years later→Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space ModelsLegacy edge — source detail unavailable
- A Tutorial on Particle Filtering and Smoothing: Fifteen years later→On sequential Monte Carlo sampling methods for Bayesian filteringLegacy edge — source detail unavailable
- Particle filters for positioning, navigation, and tracking→On sequential Monte Carlo sampling methods for Bayesian filteringLegacy edge — source detail unavailable
- CONDENSATION—Conditional Density Propagation for Visual Tracking→Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space ModelsLegacy edge — source detail unavailable
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| Target Tracking and Data Fusion in Sensor Networks | Computer Science |
| Water Systems and Optimization | Engineering |
| Flow Measurement and Analysis | Engineering |
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