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Visar resultat 1 - 5 av 20 avhandlingar som matchar ovanstående sökkriterier.
1. Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning
Sammanfattning : This thesis, which mainly consists of six appended papers, primarily considers a number of inverse problems in imaging and system identification.In particular, the first two papers generalize results for the rational covariance extension problem from one to higher dimensions. LÄS MER
2. Sensitivity Analysis and Material Parameter Estimation using Electromagnetic Modelling
Sammanfattning : Estimating parameters is the problem of finding their values from measurements and modelling. Parameters describe properties of a system; material, for instance, are defined by mechanical, electrical, and chemical parameters. Fisher information is an information measure, giving information about how changes in the parameter effect the estimation. LÄS MER
3. Inverse problems in signal processing : Functional optimization, parameter estimation and machine learning
Sammanfattning : Inverse problems arise in any scientific endeavor. Indeed, it is seldom the case that our senses or basic instruments, i.e., the data, provide the answer we seek. LÄS MER
4. Inverse and Forward Approaches for Optimal Control and Estimation in Agent-Based Systems
Sammanfattning : This dissertation is concerned with three topics within the field of optimal control and estimation in dynamical agent-based systems, with potential applications that meet both engineering and societal needs. Firstly, the inverse optimal control problem is studied. LÄS MER
5. Inverse Problems in Tomography and Fast Methods for Singular Convolutions
Sammanfattning : There are two, partially interlaced, themes treated in this thesis; inverse problems of tomographic type and fast and accurate methods for the application of convolution operators. Regarding the first theme, the inverse problem of Doppler tomography is considered and the Doppler moment transform is introduced for that purpose. LÄS MER