Sökning: "noise removal"
Visar resultat 1 - 5 av 35 uppsatser innehållade orden noise removal.
1. Dynamic Object Removal for Point Cloud Map Creation in Autonomous Driving : Enhancing Map Accuracy via Two-Stage Offline Model
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Autonomous driving is an emerging area that has been receiving an increasing amount of interest from different companies and researchers. 3D point cloud map is a significant foundation of autonomous driving as it provides essential information for localization and environment perception. LÄS MER
2. A cross-correlation analysis of a warm super-Neptune using transit spectroscopy
Kandidat-uppsats, Uppsala universitet/Institutionen för fysik och astronomiSammanfattning : A study was made in order to deduce whether certain chemical species, namely water (H2O) and carbon monoxide (CO), are present in the atmosphere of the exoplanet WASP-107 b, which lies about 200 light-years away from Earth in the constellation Virgo. The project was carried out at Uppsala University at the Department of Physics and Astronomy. LÄS MER
3. SIGNALBEHANDLING MED AVANCERAD BLUETOOTH-TEKNIK OCH OPTIMERADE OPERATIVSYSTEM : Optimera audiosystemet i ett avancerat inbyggt system med en fler-trådad programvara och synkroniserings mekanism
Uppsats för yrkesexamina på grundnivå, Umeå universitet/Institutionen för tillämpad fysik och elektronikSammanfattning : This study is about replacing an old bluetooth module with a new variant, namely the BM83 which is an integrated circuit that contains an internal DSP circuit, profiles and important functions such as noise reduction, acoustic echo removal and EQ filtering. The purpose of this study is to replace the old module with the BM83, as well as explore the internal DSP circuit in the BM83. LÄS MER
4. Deep Neural Networks for Noise Reduction and Bias Removal in MR Diffusion Signal
Master-uppsats,Sammanfattning : The purpose of this study is to assess the potential of deep neural networks, trained by unsupervised learning, for diffusion weighted imaging (DWI) data modeling and denoising. DWI data were modeled by a biexponential model and Rician bias was corrected for. LÄS MER
5. Dealing With Speckle Noise in Deep Neural Network Segmentation of Medical Ultrasound Images
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Segmentation of ultrasonic images is a common task in healthcare that requires time and attention from healthcare professionals. Automation of medical image segmentation using deep learning solutions is fast growing field and has been shown to be capable of near human performance. LÄS MER