Sökning: "maximum a posteriori"
Visar resultat 1 - 5 av 8 uppsatser innehållade orden maximum a posteriori.
1. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction
Master-uppsats, KTH/Matematisk statistikSammanfattning : Cone Beam Computed Tomography is a technology to visualize the 3D interior anatomy of a patient. It is important for image-guided radiation therapy in cancer treatment. During a scan, iterative methods are often used for the image reconstruction step. LÄS MER
2. Graph Neural Networks and Learned Approximate Message Passing Algorithms for Massive MIMO Detection
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Massive multiple-input and multiple-output (MIMO) is a method to improvethe performance of wireless communication systems by having a large numberof antennas at both the transmitter and the receiver. In the fifth-generation(5G) mobile communication system, Massive MIMO is a key technology toface the increasing number of mobile users and satisfy user demands. LÄS MER
3. Approximate Inference Low-Complexity MIMO Detection
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the telecommunications field, the correct detection of a certain signal is of most interest as it improves the robustness of the system. With multiple-input multiple-output (MIMO) antenna systems a new problem arises, the increase in complexity of the detection algorithms with the number of antennas. LÄS MER
4. An introductary view into Simultaneous LocalizationAnd Mapping
Master-uppsats, KTH/Maskinkonstruktion (Inst.)Sammanfattning : In recent years autonomous vehicles have gained attention as being the potential future for the automotive industry. A central part of an autonomous vehicle is the way that the vehicle locates itself relative to the surrounding environment. LÄS MER
5. Complexity Efficient Decoder Design for Vehicular Communication
Master-uppsats, KTH/Kommunikationsteori; KTH/ACCESS Linnaeus CentreSammanfattning : Vehicular communication is currently seen as a key technology for enabling safer and more comfortable driving. In the general effort to reduce the number of casualties and improve the traffic flow despite an increasing number of vehicles, this field has a promising future. IEEE 802. LÄS MER