Search for dissertations about: "T. Gustafsson"
Showing result 21 - 25 of 35 swedish dissertations containing the words T. Gustafsson.
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21. Kalman Filters for Nonlinear Systems and Heavy-Tailed Noise
Abstract : This thesis is on filtering in state space models. First, we examine approximate Kalman filters for nonlinear systems, where the optimal Bayesian filtering recursions cannot be solved exactly. These algorithms rely on the computation of certain expected values. READ MORE
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22. On Calibration of Ground Sensor Networks
Abstract : Sensor networks are everywhere around us. Developments in sensor technology and advances in hardware miniaturization open up brand-new application areas. In the future networks of cheap and small sensor nodes will be deployed for a variety of purposes. READ MORE
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23. Reconstruction of velocity data using adjoint optimization
Abstract : In many application areas there is a growing interest in data assimilation or data reconstruction. Data assimilation is a process for integrating observed or measured data into a physical model. READ MORE
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24. Primary Marine Aerosol : Validation of sea spray source functions using observations and transport modeling
Abstract : Sea spray aerosols (SSA) are an important part of the climate system through their effects on the global radiative budget, both directly as scatterers and absorbers of solar and terrestrial radiation, and indirectly as cloud condensation nuclei (CCN) influencing cloud formation, lifetime and precipitation. In terms of their global mass, SSA is the largest source and has the largest uncertainty of all aerosols. READ MORE
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25. Advanced Kalman Filtering Approaches to Bayesian State Estimation
Abstract : Bayesian state estimation is a flexible framework to address relevant problems at the heart of existing and upcoming technologies. Application examples are obstacle tracking for driverless cars and indoor navigation using smartphone sensor data. READ MORE