Sökning: "Processor System"
Visar resultat 1 - 5 av 380 uppsatser innehållade orden Processor System.
1. Real-Time Certified MPC for a Nano Quadcopter
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : There is a constant demand to use more advanced control methods in a wider field of applications. Model Predictive Control (MPC) is one such control method, based on recurrently solving an optimization problem for determining the optimal control signal. LÄS MER
2. Jämförelse av datakomprimeringsalgoritmer för sensordata i motorstyrenheter
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Begränsad processor- och minneskapacitet är en stor utmaning för loggning avsensorsignaler i motorstyrenheter. För att kunna lagra större mängder data i dessakan komprimering användas. LÄS MER
3. RVSingle: A general purpose power efficient RISC-V for FPGAs
Master-uppsats, Linköpings universitet/Elektroniska Kretsar och SystemSammanfattning : With the increasing need for low-cost, power-efficient computing units, RISC-Vas an open-standard Instruction Set Architecture (ISA) is becoming more and more popular in the industry. There are multiple open-source RISC-V soft processors like cva6, VEGA, NOEL-V and more. LÄS MER
4. Phase Transitions in the Two-Higgs-Doublet Model with a Softly-Broken Z2 Symmetry
Kandidat-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Teoretisk partikelfysik - Geonomgår omorganisationSammanfattning : The two-Higgs-doublet model (2HDM) is an extension to the Standard Model which adds a second Higgs doublet. This extension provides freedom within the model, in comparison to the Standard Model, which makes it possible to study strong electroweak phase transitions. LÄS MER
5. Autonomous Navigation: LIDAR-based SLAM, Terrain of Technology Explored
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : In this thesis, an autonomous system capable of navigating and mapping unknown environments is developed. The solution uses a family of algorithms called SLAM or simultaneous localization and mapping, capable of mapping the environment and retaining accurate position data without external sensors such as GPS. LÄS MER