Sökning: "signal-to-noise ratio"
Visar resultat 16 - 20 av 271 uppsatser innehållade orden signal-to-noise ratio.
16. Forecasting Codeword Errors in Networks with Machine Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With an increasing demand for rapid high-capacity internet, the telecommunication industry is constantly driven to explore and develop new technologies to ensure stable and reliable networks. To provide a competitive internet service in this growing market, proactive detection and prevention of disturbances are key elements for an operator. LÄS MER
17. Spolens betydelse för signal och kontrast i magnetkamerabilden
Magister-uppsats, Örebro universitet/Institutionen för hälsovetenskaperSammanfattning : Kontrast och brus är avgörande bildkvalitetsegenskaper i en magnetkamerabild. Valet av spole i samband med en magnetkameraundersökning påverkar hur bildkvaliteten kommer att bli och är av betydelse för den efterföljande radiologiska granskningen. LÄS MER
18. Design of a 13-Bit SAR ADC with kT/C noise cancellation technique
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : One of the main limitations of a Successive Approximation Register (SAR) Analog-to-Digital Converter (ADC) is the large input capacitance needed to achieve the desired performance. This large input capacitance increases the total area of the ADC and it imposes the use of a powerful buffer to drive it. LÄS MER
19. Content determination of explosive precursors and narcotic salts using 35Cl-nuclear magnetic resonance
Uppsats för yrkesexamina på grundnivå, Örebro universitet/Institutionen för naturvetenskap och teknikSammanfattning : Explosive precursors and narcotic salts are chemicals contributing to an undesirabledevelopment of the Swedish society, both in terms of criminal activities and harm to the environment. Reducing the illegal use of these chemicals is important in the work towards a safer society. LÄS MER
20. Fault-Tolerant Over-the-Air Federated Learning with Clustered Aggregation : Using a hierarchical architecture with hybrid digital and analog communication, to deal with byzantine users in Federated Learning over wireless networks.
Master-uppsats, Linköpings universitet/KommunikationssystemSammanfattning : Rapid advancements in modern AI applications have placed unprecedented demands on large-scale connectivity and data aggregation. The vision of Internet-of-Things (IoT) is supported by a massive amount of distributed sensors and wireless devices that generate useful data for these applications. LÄS MER