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Showing result 1 - 5 of 445 swedish dissertations matching the above criteria.
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1. Visuospatial inattention and processing speed : Predictors of long-term outcome and patterns of change after ischemic stroke
Abstract : Impairments of visuospatial attention, language, and processing speed (PS) are common early after stroke and have been associated with unfavorable short-term functional outcomes but little is known about this relationship in the long-term. This thesis investigates 1) the potential importance of visuospatial inattention (VSI) and language impairments (LI) as predictors of functional outcomes 7 years after an ischemic stroke (studies I-II) and 2) presence of lateralized inattention 7 years after stroke and potential predictors of this phenomenon (study III). READ MORE
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2. Implementation of digit-serial filters
Abstract : In this thesis we discuss the design and implementation of Digital Signal Processing (DSP) applications in a standard digital CMOS technology. The aim is to fulfill a throughput requirement with lowest possible power consumption. READ MORE
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3. Novel Applications of Space-Time Processing for Wireless Systems
Abstract : Space-time processing techniques have emerged as one of the most promising areas of research and development in wireless communications. Space-time processing signifies the signal processing performed on a system consisting of several antenna elements, whose signals are processed adaptively in order to exploit both the spatial (space) and temporal (time) dimensions of the radio channel. READ MORE
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4. Key Signal Processing Technologies for High-speed Passive Optical Networks
Abstract : With emerging technologies such as high-definition video, virtual reality, and cloud computing, bandwidth demand in the access networks is ever-increasing. Passive optical network (PON) has become a promising architecture thanks to its low cost and easy management. READ MORE
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5. Detection and Classification Multi-sensor Systems : Implementation of IoT and Systematic Design Approaches
Abstract : The detection and classification of features or properties, which characterize people, things or even events can be done in reliable way due to the development of new technologies such as Internet of Things (IoT), and also due to advances in Artificial Intelligence (AI) and machine learning algorithms. Interconnection of users with sensors and actuators have become everyday reality and IoT, an advanced notation of a Multi-sensor System, has become an integral part of systems for assessment of people’s habits and skills as well as the evaluation of quality of things or events' performances. READ MORE