Search for dissertations about: "dissertation on Data processing"
Showing result 1 - 5 of 149 swedish dissertations containing the words dissertation on Data processing.
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1. On signal processing and electromagnetic modelling : applications in antennas and transmission lines
Abstract : This doctoral thesis is comprised of five parts. The first three parts concern signal processing and electromagnetic modelling of multiport antennas. The last two parts concern signal processing and transmission line theory applied to wave splitting on transmission lines. READ MORE
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2. Practical Consideration on Ultrawideband Synthetic Aperture Radar Data Processing
Abstract : The practical considerations in ultrawideband (UWB) synthetic aperture radar (SAR) data processing in general and UWB SAR imaging in particular are clarified and presented in detail in this thesis. They are imaging algorithm, impulse response function in SAR imaging (IRF-SAR), apodization, RF interference (RFI) and SAR image quality measurement. READ MORE
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3. Computer Vision Algorithms for Intelligent Transportation Systems Applications
Abstract : In recent years, Intelligent Transportation Systems (ITS) have emerged asan efficient way of enhancing traffic flow, safety and management. Thesegoals are realized by combining various technologies and analyzing the acquireddata from vehicles and roadways. READ MORE
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4. Perspectives on Probabilistic Graphical Models
Abstract : Probabilistic graphical models provide a natural framework for the representation of complex systems and offer straightforward abstraction for the interactions within the systems. Reasoning with help of probabilistic graphical models allows us to answer inference queries with uncertainty following the framework of probability theory. READ MORE
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5. Ensembles of Semantic Spaces : On Combining Models of Distributional Semantics with Applications in Healthcare
Abstract : Distributional semantics allows models of linguistic meaning to be derived from observations of language use in large amounts of text. By modeling the meaning of words in semantic (vector) space on the basis of co-occurrence information, distributional semantics permits a quantitative interpretation of (relative) word meaning in an unsupervised setting, i. READ MORE