Essays about: "mu..."
Showing result 1 - 5 of 95 essays containing the word mu....
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1. Using search based methods for beamforming
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : In accommodating the growing global demand for wireless, Multi-User Multiple-Input and Multiple-Output (MU-MIMO) systems have been identified as the key technology. In such systems, a transmitting basestation serves several users simultaneously, increasing the network capacity. READ MORE
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2. Simulation and Testing of a MU-MIMO Beamforming System
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Multi-User Multiple-Input Multiple-Output (MU-MIMO) technology has become increasingly important in the field of wireless communication due to its ability to highly increase the capacity and efficiency of wireless networks [1]. Beamforming, as a technique used in MU-MIMO systems, improves network performance by improving signal quality and reducing interference. READ MORE
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3. Side-channel information and electromagnetic leakage: investigation at a microstrip design level
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : The number of IoT devices is increasing all over the world. As with any electrical device, they emit electromagnetic emissions. These emissions pose a security threat when it comes to electromagnetic side-channel attacks. READ MORE
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4. Polymer gel dosimetry with MRI-readout for 3D dose verification - detector characteristics and clinical applications
University essay from Lunds universitet/SjukhusfysikerutbildningenAbstract : Background & Purpose: Radiation therapy is an essential treatment for cancer patients with the ultimate goal to deliver radiation doses to the tumour with precision while minimizing exposure to surrounding healthy tissues. Treatment verification is crucial to ensure the accuracy of radiation delivery, for instance by measuring the radiation dose distribution. READ MORE
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5. Clinical Assessment of Deep Learning-Based Uncertainty Maps in Lung Cancer Segmentation
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Prior to radiation therapy planning, tumours and organs at risk need to be delineated. In recent years, deep learning models have opened the possibility of automating the contouring process, speeding up the procedures and helping clinicians. READ MORE