Sökning: "Elektroteknik med inriktning mot signalbehandling"

Visar resultat 1 - 5 av 28 avhandlingar innehållade orden Elektroteknik med inriktning mot signalbehandling.

  1. 1. Signal Processing for Spectroscopic Applications

    Författare :Erik Gudmundson; Peter Stoica; Peter Händel; Stoica Stoica; Uppsala universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; 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;

    Sammanfattning : 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. LÄS MER

  3. 2. Predictor Antennas : Enabling channel prediction for fast-moving vehicles in wireless broadband systems

    Författare :Joachim Björsell; Mikael Sternad; Anders Ahlén; Fredrik Tufvesson; Uppsala universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Predictor antenna; Channel prediction; Long-range prediction; Massive MIMO; Spline interpolation; Channel aging; Outdated CSI; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Sammanfattning : Many advanced transmission techniques utilize channel state information (CSI) at the transmitter (CSIT) to improve throughput, spectral efficiency, power efficiency, and other performance metrics. Estimating CSI accurately is important to fully benefit from many of these techniques. LÄS MER

  4. 3. Harvesting Based Communications for Wireless Control Systems : Event-Trigger and Reinforcement Learning Based Transmission Policies

    Författare :Ruslan Seifullaev; Steffi Knorn; Anders Ahlén; Fredrik Gustafsson; Uppsala universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; wireless control systems; energy harvesting; event-triggered control; Lyapunov stability analysis; fading channel; quantized data; Markov models; Bayesian estimation; reinforcement learning; dynamic programming; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Sammanfattning : Wireless control systems have gained considerable attention in recent years due to their numerous advantages, including increased flexibility and scalability, reduced wiring complexity, and cost-efficiency. Despite these benefits, the use of communication networks in control loops poses various challenges, such as sampled data, latency, packet dropouts, etc. LÄS MER

  5. 4. Harmonic signal modeling based on the Wiener model structure

    Författare :Emad Abd-Elrady; Torsten Söderström; Uppsala universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Sammanfattning : The estimation of frequencies and corresponding harmonic overtones is a problem of great importance in many situations. Applications can, for example, be found in supervision of electrical power transmission lines, in seismology and in acoustics. LÄS MER

  7. 5. Deep learning applied to system identification : A probabilistic approach

    Författare :Carl Andersson; Thomas B. Schön; Uppsala universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Sammanfattning : Machine learning has been applied to sequential data for a long time in the field of system identification. As deep learning grew under the late 00's machine learning was again applied to sequential data but from a new angle, not utilizing much of the knowledge from system identification. LÄS MER