Sökning: "Elektroteknik med inriktning mot signalbehandling"
Visar resultat 21 - 25 av 32 avhandlingar innehållade orden Elektroteknik med inriktning mot signalbehandling.
21. Tailoring Gaussian processes and large-scale optimisation
Sammanfattning : This thesis is centred around Gaussian processes and large-scale optimisation, where the main contributions are presented in the included papers.Provided access to linear constraints (e.g. equilibrium conditions), we propose a constructive procedure to design the covariance function in a Gaussian process. LÄS MER
22. Tailoring Gaussian processes for tomographic reconstruction
Sammanfattning : A probabilistic model reasons about physical quantities as random variables that can be estimated from measured data. The Gaussian process is a respected member of this family, being a flexible non-parametric method that has proven strong capabilities in modelling a wide range of nonlinear functions. LÄS MER
23. Machine learning for spatially varying data
Sammanfattning : Many physical quantities around us vary across space or space-time. An example of a spatial quantity is provided by the temperature across Sweden on a given day and as an example of a spatio-temporal quantity we observe the counts of the corona virus cases across the globe. LÄS MER
24. Parametric methods for frequency-selective MR spectroscopy
Sammanfattning : Accurate and efficient quantitation of the data components in magnetic resonance spectroscopy (MRS) signals can be an important step in the analysis of biochemical substances. In several practical applications of MR spectroscopy the user is interested only in the data components lying in a small frequency band of the spectrum. LÄS MER
25. Model Selection
Sammanfattning : Before using a parametric model one has to be sure that it offers a reasonable description of the system to be modeled. If a bad model structure is employed, the obtained model will also be bad, no matter how good is the parameter estimation method. There exist many possible ways of validating candidate models. LÄS MER