Sökning: "particle ﬁlter"
Visar resultat 1 - 5 av 149 uppsatser innehållade orden particle ﬁlter.
- Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)
Sammanfattning : State estimation uses measurements of a system’s output to estimate the state. A particular method within state estimation is filtering, which estimates the state using measurements up to and including the current time. LÄS MER
- Magister-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi
Sammanfattning : This project arose from the need to filter the sampled data and eliminate non-useful information in Serial Crystallography in Microfluidic Device (MFD)by using a portable optical detector placed around the channel. By testing sixteen different configurations, always using an LED as a source and a photodiode as a light sensor, changes in the channel due to the passage of air bubbles were detected. LÄS MER
- Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik
Sammanfattning : Within the telecommunications industry, a positioning system for estimating user equipment (UE) location using purely information available for the basestation has an enormous number of potential uses. The link between physical position and the network channel state enables potential positioning systems to function by under- standing the network channel state dependency on location, using a model-based, data-based, or a combined approach. LÄS MER
- Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik
Sammanfattning : Acoustophoresis is a method to manipulate and move cells or particles suspended in a medium using acoustic waves. The speed of the acoustophoretic motion depends on the cells' acoustic mobility, i.e. their size, density and compressibility relative to the medium. LÄS MER
- Kandidat-uppsats, Uppsala universitet/Institutionen för elektroteknik
Sammanfattning : The project explores the possibilities on how to improve the accuracy of GPS velocity data by using sensor fusion with an extended Kalman filter. The proposed solution in this project is a sensor fusion between the GPS and IMU of the system, where the extended Kalman filter was used to estimate the velocity from the sensor data. LÄS MER