Search for dissertations about: "signal detection"

Showing result 1 - 5 of 681 swedish dissertations containing the words signal detection.

  2. 1. The ubiquitous signal processing : Applications to communications, spectral analysis and array processing

    Author : Erik G. Larsson; Björn Ottersten; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; digital signal processing; array processing; spectral analysis; incomplete data; wireless communications; space-time coding; synthetic aperture radar imaging; signal separation; estimation; detection; Signal processing; Signalbehandling; Signal Processing; Signalbehandling;

    Abstract : This dissertation is concerned with statistical signal processing and its applications. The thesis consists of three parts: I) applications to wireless communications, II) applications to spectral analysis and III) applications to array processing. READ MORE

  4. 2. Signal Processing for Spectroscopic Applications

    Author : Erik Gudmundson; Peter Stoica; Peter Händel; Stoica Stoica; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; spectral estimation; spectroscopic techniques; MRI; NMR; NQR; signal detection; parameter estimation; missing data; non-uniform sampling; damped sinusoids; detection of explosives; T1-mapping; relaxometry; brain imaging; skin imaging; blood velocity estimation; medical ultrasound; Signal processing; Signalbehandling; Elektroteknik med inriktning mot reglerteknik; Electrical Engineering with specialization in Automatic Control;

    Abstract : Spectroscopic techniques allow for studies of materials and organisms on the atomic and molecular level. Examples of such techniques are nuclear magnetic resonance (NMR) spectroscopy—one of the principal techniques to obtain physical, chemical, electronic and structural information about molecules—and magnetic resonance imaging (MRI)—an important medical imaging technique for, e. READ MORE

  5. 3. Optimal Detectors for Transient Signal Families and Nonlinear Sensors : Derivations and Applications

    Author : Daniel Asraf; Mats Gustafsson; Anders Grennberg; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signalbehandling; optimal detection; transient signals; noncoherent detection; unknown arrival time; ultrasonic nondestructive testing; nonlinear sensor; stochastic resonance; Signalbehandling; Signal processing; Signalbehandling; Signal Processing; signalbehandling;

    Abstract : This thesis is concerned with detection of transient signal families and detectors in nonlinear static sensor systems. The detection problems are treated within the framework of likelihood ratio based binary hypothesis testing. READ MORE

  6. 4. Distributed Detection in Cognitive Radio Networks

    Author : Ahti Ainomäe; Mats Bengtsson; Tõnu Trump; Olav Tirkkonen; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cognitive Radio; distributed estimation; distributed detection; Diffusion LMS; Diffusion Networks; Adaptive Networks; Spectrum Sensing; Energy Detection; Random Matrix; Largest Eigenvalue Detection.; Electrical Engineering; Elektro- och systemteknik;

    Abstract : One of the problems with the modern radio communication is the lack of availableradio frequencies. Recent studies have shown that, while the available licensed radiospectrum becomes more occupied, the assigned spectrum is significantly underutilized. READ MORE

  7. 5. Detection and Classification Multi-sensor Systems : Implementation of IoT and Systematic Design Approaches

    Author : Damian Dziak; Wlodek Kulesza; Darius Andriukaitis; Blekinge Tekniska Högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Assessment; Behavior Recognition; Classification; Design Methodology; Detection; Indoor Localization; Internet of Things; Multi-Sensor System; Skills Assessment; Outdoor Localization; Wireless Sensor Network; Applied Signal Processing; Tillämpad signalbehandling;

    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