Sökning: "RF simulation"

Visar resultat 1 - 5 av 98 uppsatser innehållade orden RF simulation.

  1. 1. A Low Noise Digitally Controlled Oscillator for a Wi-Fi 6 All-Digital PLL

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Tommy Lundberg; [2023]
    Nyckelord :Digitally Controlled Oscillator; All-Digital Phase Locked Loop; Oscillator; Low Phase Noise; Class-C oscillator; Dual-Core; Dynamic BiasingCircuit; Digitalt Styrd Oscillator; Digital PLL; Lågt Fasbrus; Klass-C Oscillator; Dubbelkärnig; Dynamisk Bias-Krets;

    Sammanfattning : Following the rise of Internet of Things (IoT), or just the technological advancements and expectations in a world where the things are or will be connected, new demands are put on Integrated Circuit (IC) for wireless connectivity. The use cases seem endless; smart home, healthcare, entertainment, and science are all areas that can benefit from connectivity of low power electronics. LÄS MER

  3. 2. Deep Learning for the prediction of RASER-MRI profiles

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik

    Författare :Filip Arvidsson; Jonas Bertilson; [2023]
    Nyckelord :MRI; NMR; AI; Deep Learning; RASER-MRI; Media Technology; KIT; LIU; CNN; Autoencoder; Djupinlärning; Medieteknik; Magnetröntgen;

    Sammanfattning : Magnetic resonance imaging (MRI) is a critical diagnostic tool in medical practice, enabling non-invasive visualization of anatomy and physiological processes. Nonetheless, MRI has inherent spatial resolution limitations, which may limit its diagnostic capabilities. LÄS MER

  4. 3. Uncertainty Analysis : Severe Accident Scenario at a Nordic Nuclear Power Plant

    Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

    Författare :Josefin Hedly; Mikaela De Young; [2023]
    Nyckelord :Nuclear power plant; microdata analysis; Random Forest; k-Nearest Neighbor; SVM;

    Sammanfattning : Nuclear Power Plants (NPP) undergo fault and sensitivity analysis with scenario modelling to predict catastrophic events, specifically releases of Cesium 137 (Cs-137). The purpose of this thesis is to find which of 108 input-features from Modular Accident Analysis Program (MAAP)simulation code are important, when there is large release of Cs-137 emissions. LÄS MER

  5. 4. Data-Driven Traffic Forecasting for Completed Vehicle Simulation: : A Case Study with Volvo Test Trucks

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Samaneh Shahrokhi; [2023]
    Nyckelord :supervised machine learning; traffic forecasting; vehicle presence prediction; binary classification; ensemble learning; feature engineering; hyperparameter tuning; data-driven analysis;

    Sammanfattning : This thesis offers a thorough investigation into the application of machine learning algorithms for predicting the presence of vehicles in a traffic setting. The research primarily focuses on enhancing vehicle simulation by employing data-driven traffic prediction methods. The study approaches the problem as a binary classification task. LÄS MER

  7. 5. Formation Control of UAVs for Positioning and Tracking of a Moving Target

    Master-uppsats, Linköpings universitet/Fordonssystem

    Författare :Robert Carsk; Alexander Jeremic; [2023]
    Nyckelord :Autonomous; UAVs; Drones; Sensor Fusion; MPC; Filter; KF; EKF; Signal; Tracking; Formation; Controller; Control; MWSN; Optimal Control Problem; Optimization; Seeker Drone; Target Drone; Quadcopter Model; Simulation;

    Sammanfattning : The potential of Unmanned Aerial Vehicles (UAVs) for surveillance and military applications is significant — with continued technical advances in the field. The number of incidents where UAVs have intruded into unauthorized areas has increased in recent years and armed drones are commonly used in modern warfare. LÄS MER