Sökning: "Channel Estimation"

Visar resultat 1 - 5 av 122 uppsatser innehållade orden Channel Estimation.

1. 1. Heart rate estimation from wrist-PPG signals in activity by deep learning methods

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Marie-Ange Stefanos; [2023]
   Nyckelord :Deep Learning; Medical Data; Signal Processing; Heart Rate Estimation; Wrist Photoplethysmography; Djup lärning; Medicinska Data; Signalbehandling; Pulsuppskattning; Handledsfotopletysmograf;

   Sammanfattning : In the context of health improving, the measurement of vital parameters such as heart rate (HR) can provide solutions for health monitoring, prevention and screening for certain chronic diseases. Among the different technologies for HR measuring, photoplethysmography (PPG) technique embedded in smart watches is the most commonly used in the field of consumer electronics since it is comfortable and does not require any user intervention. LÄS MER

3. 2. Network Orientation and Segmentation Refinement Using Machine Learning

   Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

   Författare :Michael Nilsson; Jonatan Kentson; [2023]
   Nyckelord :deep learning; semantic segmentation; orientation learning; road networks; retina networks;

   Sammanfattning : Network mapping is used to extract the coordinates of a network's components in an image. Furthermore, machine learning algorithms have demonstrated their efficacy in advancing the field of network mapping across various domains, including mapping of road networks and blood vessel networks. LÄS MER

4. 3. Channel Estimation Optimization in 5G New Radio using Convolutional Neural Networks

   Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Författare :David Adolfsson; [2023]
   Nyckelord :Channel Estimation; 5G NR; CNN; Kanalestimering; 5G NR;

   Sammanfattning : Channel estimation is the process of understanding and analyzing the wireless communication channel's properties. It helps optimize data transmission by providing essential information for adjusting encoding and decoding parameters. LÄS MER

5. 4. AI Based Methods for Matrix Multiplication in High Resolution Simulations of Radio Access Networks

   Master-uppsats, KTH/Matematisk statistik

   Författare :Marcus Johnson; Herman Forslund; [2023]
   Nyckelord :Product-Quantization; MADDNESS; Radio Access Networks; Channel Estimation; MIMO; Approximate Matrix Multiplication; Pruduktkvantisering; MADDNESS; RAN; MIMO; Approximativa matrismultiplikation;

   Sammanfattning : The increasing demand for mobile data has placed significant strain on radio access networks (RANs), leading to a continuous need for increased network capacity. In keeping with that, a significant advancement in modern RANs is the ability to utilize several receivers and transmitters, to allow for beamforming. LÄS MER

7. 5. Channel Estimation and Power Control Algorithms in the Presence of Channel Aging

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yan Bixing; [2023]
   Nyckelord :Fading channel; auto-regressive model; power allocation; uncrewed aerial vehicle networks; Fading kanal; auto-regressiv modell; krafttilldelning; obemannade flygfordonsnätverk;

   Sammanfattning : Power allocation algorithms that determine how much power should be allocated to pilot and data symbols play an important role in addressing the trade-off between accurate channel estimation and high high spectral efficiency for data symbols in the presence of time-varying fading channels. Dealing with this trade-off is highly non-trivial when the channel changes or ages rapidly in time. LÄS MER