Essays about: "förstärkning"
Showing result 1 - 5 of 149 essays containing the word förstärkning.
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1. mmWave Coverage Extension Using Reconfigurable Intelligent Surfaces in Indoor Dense Spaces
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Millimeter-wave (mmWave) is widely investigated for indoor communication scenarios thanks to the available rich spectrum. However, the shortened antenna size and the high frequency make mmWave extra sensitive to blockages. READ MORE
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2. Resursförsvar hos hund – orsaker och förebyggande
University essay from SLU/Dept. of Animal Environment and HealthAbstract : Hundaggression är ett allvarligt problem dels i form av nedsatt välfärd hos hunden som uppvisar aggressivt beteenden, dels för omgivningen då det kan leda till bitskador på människor och andra djur. Detta gör att hundaggression är bland det farligaste problembeteende hos hundar som ägare står inför. READ MORE
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3. Joint CFR and DPD optimization for 5G Digital Front Ends
University essay from Lunds universitet/Matematik LTHAbstract : This thesis project investigates the topic of joint optimization for crest factor reduction and digital predistortion blocks, which are used for digital correction of analogue impairments in digital radio front ends. The work first investigates the effects of joint parameter variation of the above blocks on the global performance and computational cost of the digital chain, given reference CFR and DPD algorithms. READ MORE
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4. FEM analysis of existing buildings during renovation
University essay from KTH/HållfasthetsläraAbstract : In this masters thesis the aim was to investigate a part of Sturegallerian in Stockholm to be reconstructed. The reconstruction did implicate that openings were to be established in an already existing masonry wall. READ MORE
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5. Link Prediction Using Learnable Topology Augmentation
University essay from KTH/Matematik (Avd.)Abstract : Link prediction is a crucial task in many downstream applications of graph machine learning. Graph Neural Networks (GNNs) are a prominent approach for transductive link prediction, where the aim is to predict missing links or connections only within the existing nodes of a given graph. READ MORE