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Visar resultat 1 - 5 av 147 uppsatser som matchar ovanstående sökkriterier.
1. FPGA Based Control of Multiple Electric Machines for Marine Propulsion Systems
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This master thesis addresses the control of electric propulsion motors in a marine context. The focus lies mainly on the implementation of field oriented control (FOC) in a field programmable gate array (FPGA). The hypothesis is that FPGAs provide performance advantages over microcontroller-based control solutions by enabling parallel processing. LÄS MER
2. Digitally Controlled Oscillator Topologies for mm-Wave Pulsed Coherent Radar
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : The advancement of future generations of wireless communication and radar sensing warrants the need for mm-wave digitally controlled oscillators (DCOs) with high-frequency trade-offs in consideration. The purpose of this project is to investigate DCO topologies inspired from scientific literature. LÄS MER
3. Towards a setup for narrowband terahertz generation through difference-frequency mixing of chirped ultrashort pulses
Master-uppsats, Lunds universitet/Atomfysik; Lunds universitet/Fysiska institutionenSammanfattning : Terahertz radiation is a useful tool for inducing lower-energy excitations in matter, where it can be used to cause structural changes through direct interaction with the crystal lattice. Sub-picosecond optical pulses can be used to generate intense broadband terahertz pulses through optical rectification in nonlinear crystals, reaching peak electric fields of several MV/m and conversion efficiencies as high as a few percent. LÄS MER
4. Impact of interfering rouge access points on modulationand coding in IoT network
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : This Bachelor thesis presents an in-depth investigation into the effects of RogueAccess Point interference within Internet of Things networks. The study focuses onthe impact of rogue APs on the modulation and coding scheme indices, round triptime, and overall network performance. LÄS MER
5. Dataset Drift in Radar Warning Receivers : Out-of-Distribution Detection for Radar Emitter Classification using an RNN-based Deep Ensemble
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : Changes to the signal environment of a radar warning receiver (RWR) over time through dataset drift can negatively affect a machine learning (ML) model, deployed for radar emitter classification (REC). The training data comes from a simulator at Saab AB, in the form of pulsed radar in a time-series. LÄS MER