Search for dissertations about: "loop detection"
Showing result 1 - 5 of 78 swedish dissertations containing the words loop detection.
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1. Detection and Classification in Electrocardiac Signals
Abstract : Signal processing can be used to condition medical signals to facilitate their interpretation, and to extract clinically important information. The purpose of the present doctoral thesis is to put forward solutions to certain problems encountered in the processing of electrocardiac signals. READ MORE
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2. The three-dimensional normal-distributions transform : an efficient representation for registration, surface analysis, and loop detection
Abstract : This dissertation is concerned with three-dimensional (3D) sensing and 3D scan representation. Three-dimensional records are important tools in several disciplines; such as medical imaging, archaeology, and mobile robotics. READ MORE
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3. Passive Island Detection of Microgrid by Grid Forming Inverter
Abstract : The supply reliability of a local grid will be improved if the local grid is managed as a microgrid, with the ability to operate in island mode when the main grid is temporarily unavailable. This thesis focuses on microgrids powered by inverter-based resources (IBRs), one or several of which need to be equipped with grid forming (GFM) capability for establishing and controlling the voltage and frequency of the microgrid during island operation. READ MORE
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4. Loop detection and extended target tracking using laser data
Abstract : In the past two decades, robotics and autonomous vehicles have received ever increasing research attention. For an autonomous robot to function fully autonomously alongside humans, it must be able to solve the same tasks as humans do, and it must be able to sense the surrounding environment. READ MORE
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5. Retroviral long Terminal Repeats; Structure, Detection and Phylogeny
Abstract : Long terminal repeats (LTRs) are non-coding repeats flanking the protein-coding genes of LTR retrotransposons. The variability of LTRs poses a challenge in studying them. Hidden Markov models (HMMs), probabilistic models widely used in pattern recognition, are useful in dealing with this variability. READ MORE