Essays about: "adaptive channel"

Showing result 1 - 5 of 75 essays containing the words adaptive channel.

1. 1. Hydraulic Modelling of Eurasian Beaver Structural Modifications: Implications for Evaluating their Contributions to Natural Flood Management in Scotland

   University essay from Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

   Author : Maja Christina Pitcairn; [2023]
   Keywords : Beaver reintroduction; Scotland; Flood risk; Natural flood management; Hydraulic modelling.; Technology and Engineering;

   Abstract : The concurrent climate and biodiversity crises in Scotland necessitate the exploration of ecosystem-based adaptation to simultaneously address increased flood risk and the loss of native species. This research investigated the contributions of Eurasian beaver reintroductions to natural flood management in Scotland. READ MORE

3. 2. Adaptive Fishway Design : Designing a Bypass Channel to Fit Large Discharge Fluctuations

   University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

   Author : Melina Sattelmeier; [2023]
   Keywords : ;

   Abstract : Especially with regard to achieving the goals of the European Water Framework Directive, the construction of fishways is becoming more prominent in Sweden's hydraulic engineering sector. Particularly the importance of nature-like bypass channels is increasing, being the type of fishway that is currently implemented in most cases of small scale hydropower. READ MORE

4. 3. EVOKED PHASE COHERENCE AS A BIOMARKER FOR ADAPTIVE NEUROMODULATION IN RAT MODEL OF PARKINSON'S DISEASE

   University essay from Umeå universitet/Institutionen för psykologi

   Author : Love Zackrisson; [2023]
   Keywords : Adaptive; Closed Loop; Neuromodulation; Parkinson’s Disease; Rat model; 6-OHDA; ITC; Phase Coherence; Bayesian Model; Classifier; Spinal Cord Stimulation; Deep Brain Stimulation.; Adaptiv; Closed Loop; Neuromodulation; Parkinson’s Sjukdom; Råttmodell; 6-OHDA; ITC; Faskoherens; Bayesiansk Modell; Klassificerare; Ryggradsstimulering; Djup Hjärnstimulering.;

   Abstract : Neuromodulation, such as spinal cord stimulation (SCS) and deep brain stimulation (DBS), has been shown to modulate pathophysiological brain activity and provide symptomatic therapy for several neurological disorders, including Parkinson’s Disease. The effectiveness of this therapy could likely be further improved by neuromodulation that is adaptive, delivering stimulation more selectively, by monitoring a biomarker in recorded brain signals, which indicates the presence of a pathological state. READ MORE

5. 4. Personalized Federated Learning for mmWave Beam Prediction Using Non-IID Sub-6 GHz Channels

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Yuan Cheng; [2022]
   Keywords : Personalized Federated Learning; Millimeter wave; Beamforming; DeepMIMO; Non-IID; Personaliserad Federad Inlärning; Millimetervågor; Strålformning; DeepMIMO; Icke-IID;

   Abstract : While it is difficult for base stations to estimate the millimeter wave (mmWave) channels and find the optimal mmWave beam for user equipments (UEs) quickly, the sub-6 GHz channels which are usually easier to obtain and more robust to blockages could be used to reduce the time before initial access and enhance the reliability of mmWave communication. Considering that the channel information is collected by a massive number of radio base stations and would be sensitive to privacy and security, Federated Learning (FL) is a match for this use case. READ MORE

6. 5. Deep Neural Networks for dictionary-based 5G channel estimation with no ground truth in mixed SNR scenarios

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Matteo Ferrini; [2022]
   Keywords : 5G; Channel Estimation; Sparse Linear Inverse Problem; Approximate Message Passing; Neural Networks; 5G; kanaluppskattning; sparsamt linjärt inversproblem; approximativ meddelandeöverföring; neurala nätverk;

   Abstract : 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. READ MORE