Sökning: "Fredrik Svanström"
Hittade 4 uppsatser innehållade orden Fredrik Svanström.
1. Drone Detection and Classification using Machine Learning and Sensor Fusion
Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : This thesis explores the process of designing an automatic multisensordrone detection system using machine learning and sensorfusion. Besides the more common video and audio sensors, the systemalso includes a thermal infrared camera. LÄS MER
2. Properties of a generalized Arnold’s discrete cat map
Magister-uppsats, Linnéuniversitetet/Institutionen för matematik (MA)Sammanfattning : After reviewing some properties of the two dimensional hyperbolic toral automorphism called Arnold's discrete cat map, including its generalizations with matrices having positive unit determinant, this thesis contains a definition of a novel cat map where the elements of the matrix are found in the sequence of Pell numbers. This mapping is therefore denoted as Pell's cat map. LÄS MER
3. Kalman filtering : With a radar tracking implementation
Kandidat-uppsats, Institutionen för matematik (MA)Sammanfattning : The Kalman filter algorithm can be applied as a recursive estimator of the state of a dynamic system described by a linear difference equation. Given discrete measurements linearly related to the state of the system, but corrupted by white Gaussian noise, the Kalman filter estimate of the system is statistically optimal with respect to a quadratic function of the estimate error. LÄS MER
4. Påverkar GIH:s utbildning i friluftsliv studenterna? : En studie av naturupplevelser hos studenter vid GIH:s lärarprogram
Magister-uppsats, Institutionen för idrotts- och hälsovetenskapSammanfattning : Aim The aim of this study is to examine students' previous experiences of stay in the nature and their experiences of nature in the context of teaching situations in friluftsliv at GIH. It also aims to elucidate how the teaching of friluftsliv at GIH affects their former interpretation about nature. LÄS MER