Searched for: subject%3A%22filter%22
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Laguarda, L. (author), Hickel, S. (author)
We propose several enhancements to improve the accuracy and performance of the digital filter turbulent inflow generation technique and assess their efficacy in the context of wall-resolved large-eddy simulations of a compressible turbulent boundary layer. Improvements of accuracy include a more realistic correlation function for the...
journal article 2024
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Besseling, Roos (author)
This study investigates the capacity of an open inverted filter to stabilize the interface between the sand fill and core fill in a rubble mound breakwater. The strength of this filter relies on the arching mechanism of the base material, which is directly influenced by factors such as stability ratio and effective stresses. These forces arise...
master thesis 2023
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Wu, Keyu (author)
Class-D amplifiers have gained popularity for their high-power efficiency, exceeding 90%. Among them, digital-input Class-D amplifiers stand out due to their superior integration and increased immunity to electromagnetic interference (EMI). This project introduces a high-performance digital-input Class-D amplifier, aiming for a dynamic range...
master thesis 2023
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Harte, Jesse (author)
In this thesis we aim to research and design different neural models for session recommendation. We investigate the fundamental neural models for session recommendation, namely BERT4Rec, SASRec and GRU4Rec and subsequently use our findings to design a simpler but performant neural model. <br/><br/>Firstly, we address methodological errors made...
master thesis 2023
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Moreno León, C. (author)
Radar-tracking of low-observable targets such as drones suffers from low detection performance. In these type of applications, it is desirable to avoid data thresholding in order to preserve the weak target signal in the raw sensor data. This thesis considers the Multiple Object Tracking (MOT) problem in the context of radar Track-before-Detect ...
doctoral thesis 2023
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Li, Roger Zhe (author)
doctoral thesis 2023
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Huijbrechts, Maartje (author)
Macro X-ray fluorescence (MA-XRF) is a recently developed technology allowing to obtain elemental information from cultural heritage objects. This information can, for example, be used to identify pigments used in a painting. Yet, the extended period of time it takes to scan an object is a major issue within MA-XRf. For instance, it took about...
master thesis 2023
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Wang, Haobo (author)
The evolution of aerial vehicle technology necessitates robust trajectory prediction models. These models are crucial for maintaining safe airspace and enabling autonomous operations. Automatic dependent surveillance–broadcast (ADS-B) is a surveillance system that enables aircraft to receive data from navigation satellites and periodically...
master thesis 2023
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Liu, Tianyi (author)
Transcranial Doppler ultrasound imaging is a crucial tool for both clinical and research applications. Despite its significance, its utility is constrained by the dynamic range limitations of the receiver system. Traditional methods, relying on high-dynamic-range front-end amplifiers and high-resolution ADCs, are often inefficient. These methods...
master thesis 2023
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Gupta, Avish (author)
Flow sensing is essential in various industrial, commercial, and biomedical applications. Although many types of flow sensors exist, thermal flow sensors are widely used due to their simple sensing elements (heaters and temperature sensors) and low fabrication costs. A low-cost interface for thermal flow sensors can then be realized with a...
master thesis 2023
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Dong, J. (author)
Advancements in technology and societal demands have led to increasing complexity, size, and automation in modern industrial systems. This trend makes these systems more safety-critical, as the occurrence of faults in system components or subsystems may cause the entire system to fail, resulting in significant economic losses and casualties....
doctoral thesis 2023
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Wang, Tianyu (author)
The growing demand for asynchronous data communication leads to a growing demand for CDR systems to recover the sampling clock of the received data. The DTC in the CDR system is the main jitter source of the recovered data. A low-jitter DTC is required to generate data of low-jitter performance, calling for the application of a phase noise...
master thesis 2023
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Menken, Maarten (author)
Lithium-ion batteries are the dominant electrochemical energy storage device and are a key enabler of portable electronics and electric vehicles. However, the technology is often criticized for its use of rare metals. Extending the lifetime of lithium-ion batteries can allow for more time to develop rare metal recycling efforts but this requires...
master thesis 2023
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Janakiraman, Sathya (author)
Having a reliable flight envelope is of paramount importance for safe flight operations. Parameters that determine the safe flight envelope are airspeed , angle of attack, angle of sideslip, Euler angle and load factor. These parameters need to be fault redundant, In order to address this challenge, an unscented Kalman estimation routine is...
master thesis 2023
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Swanenburg, Jade (author)
This thesis aims to develop a methodology for predicting the swap spread, which is defined as the difference between the German government bond interest rate and the Euribor swap rate. Thus far, the prediction of interest rates is limited to the prediction of a single interest rate. This thesis introduces the simultaneous prediction of the...
master thesis 2023
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Tang, Xiaohan (author)
Inertial Measurement Units (IMUs) have become increasingly popular human motion estimation due to their portability, self-contained features, and cost-effectiveness compared to marker-based sensing systems which rely on external cameras to observe the position of the markers. Over the years, many studies have proposed various models and...
master thesis 2023
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Liu, Chengen (author)
The edge flow reconstruction task improves the integrity and accuracy of edge flow data by recovering corrupted or incomplete signals. This can be solved by a regularized optimization problem, and the corresponding regularizers are chosen based on prior knowledge. However, obtaining prior information is challenging in some fields. Thus, we...
master thesis 2023
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Brus, Daniël (author)
In many fields we are interested in inference for a complex stochastic process given limited observations regarding its state over time. This thesis therefore introduces an expectation propagation approach to backward filtering forward guiding for high-dimensional finite-state space models. The backward filtering forward guiding method is first...
master thesis 2023
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Vonk, Renzo (author)
The COVID-19 pandemic has highlighted the importance of indoor air quality in preventing the spread of airborne transmissive diseases. Offices are some of the largest hotspots for disease transmission. To address this issue, a joint venture between FLEX/design and Euromate, called ‘X-Lair,’ aims to design an air purifier specifically targeting...
master thesis 2023
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Lut, Jasper-Jan (author)
Drones that perform complex autonomous movements require a perfect estimate of their current position. However, internal measurement unit (IMU) errors introduce drift in this estimate, leading to significant discrepancies between the predicted and actual location. Various solutions have been proposed to calibrate the IMU, including methods...
master thesis 2023
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