Sökning: "Signal-brusförhållande"
Visar resultat 1 - 5 av 12 uppsatser innehållade ordet Signal-brusförhållande.
1. Developing a portable, customizable, single-channel EEG device for homecare and validating it against a commercial EEG device
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : There are several commercial electroencephalography (EEG) devices on the market; however, affordable devices are not versatile for diverse research applications. The purpose of this project was to investigate how to develop a low-cost, portable, single-channel EEG system for a research institute that could be used for neurofeedback-related applications in homecare. LÄS MER
2. Quantum Espionage
Master-uppsats, KTH/Tillämpad fysikSammanfattning : This thesis investigates the security of optical fiber communication and demonstrates the feasibility of eavesdropping using different tapping methods and superconducting nanowire single-photon detectors (SNSPDs). Methods for surveillance against fiber intrusion are also investigated. LÄS MER
3. Performance Evaluation of LoRa networks for Air-to-Ground Communications
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The current focus on the Internet of Things (IoT) has led to the emergence of many network scenarios with unlimited use cases, including smart homes, smart cities, smart agriculture, and more. Unmanned aerial vehicles (UAVs), also known as drones, have become increasingly popular due to their versatility and ability to collect and transmit data through various sensors and cameras. LÄS MER
4. The role of gap junctions in coordination of intercellular Ca2+ signaling
Master-uppsats, KTH/Tillämpad fysikSammanfattning : Calcium ions are one of the most versatile signalling molecules. They are essential tothe proper functioning of various cellular processes in many different types of cells.The calcium signals have been studied in the past using ratiometric dyes like Fura-2. LÄS MER
5. Deep Neural Networks for dictionary-based 5G channel estimation with no ground truth in mixed SNR scenarios
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Channel estimation is a fundamental task for exploiting the advantages of massive Multiple-Input Multiple-Output (MIMO) systems in fifth generation (5G) wireless technology. Channel estimates require solving sparse linear inverse problems that is usually performed with the Least Squares method, which brings low complexity but high mean squared error values. LÄS MER