Essays about: "Robust neural receiver"
Found 5 essays containing the words Robust neural receiver.
-
1. Robust Neural Receiver in Wireless Communication : Defense against Adversarial Attacks
University essay from Linköpings universitet/KommunikationssystemAbstract : In the field of wireless communication systems, the interest in machine learning has increased in recent years. Adversarial machine learning includes attack and defense methods on machine learning components. READ MORE
-
2. Machine Learning-based MIMO Indoor Positioning
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The most widely used positioning system is Global Navigation Satellite System (GNSS), which uses traditional positioning techniques and cannot achieve satisfactory positioning performance in indoor scenarios due to Non-Line-of-Sight (NLoS) transmission. Fingerprinting is a non-traditional positioning technique that is robust to NLoS transmission in indoor scenarios. READ MORE
-
3. Graph Neural Networks and Learned Approximate Message Passing Algorithms for Massive MIMO Detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
-
4. State Estimation for Truck and Trailer Systems using Deep Learning
University essay from Linköpings universitet/ReglerteknikAbstract : High precision control of a truck and trailer system requires accurate and robust state estimation of the system. This thesis work explores the possibility of estimating the states with high accuracy from sensors solely mounted on the truck. The sensors used are a LIDAR sensor, a rear-view camera and a RTK-GNSS receiver. READ MORE
-
5. Mammography Classification and Nodule Detection using Deep Neural Networks
University essay from KTH/Numerisk analys, NAAbstract : Mammographic screenings are the most common modality for an early detection of breast cancer, but a robust annotation of the depicted breast tissue presents an ongoing challenge, even for well-experienced radiologists. Computer-aided diagnosis systems can support the human classification. READ MORE