Searched for: subject%3A%22wavelets%22
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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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Joyandeh, Arian (author)
With the rise of zero-shot synthetic image generation models, such as Stability.ai's Stable Diffusion, OpenAI's DALLE or Google's Imagen, the need for powerful tools to detect synthetic generated images has never been higher. In this thesis we contribute to this goal by considering wavelet-based approaches for synthetic image detection.<br/><br/...
master thesis 2023
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Licurici, Teodor (author)
Estimating the transmembrane currents travelling through the epicardium and local activation times based on atrial epicardial electrograms can greatly help in the study of cardiac arrhythmias such as atrial fibrillation. This work focuses on the accurate estimation of the aforementioned signals and features. To do this, two least squares-based...
master thesis 2023
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Wong, Jing Jing (author)
This research consists of two applications of image processing, namely, image compression and image denoising. Image compression aims to reduce the size of an image without losing too many features. This is often used to store a large number of images such as fingerprints. Denoising is a technique for removing noise from an image while...
bachelor thesis 2022
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Ranganathan, Archana (author)
Electrical faults in the distribution system can lead to interruptions in customer power supply resulting in penalties that are borne by the distribution system operator. Accurate fault classification is an important step in locating the fault to achieve faster network restoration times. This reduces the operational costs of the system operator...
master thesis 2021
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Staps, Sam (author)
Conventional steering systems in passenger vehicles have a mechanically fixed steering ratio. The steering sensitivity, defined as the amount of vehicle response to the driver's steering wheel input, remains fixed with changing road environments. Research has shown that driving comfort and safety can be improved when the vehicle's steering...
master thesis 2021
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Kiran Kumar, Kiran (author)
The growing energy demands and the global shift towards Renewable Energy resources (RES), has resulted in rapid growth of the electrical power grid. With the integration of further RES into the power grid, the need for a resilient and smart power grid has never been greater. For meeting this necessity, the electrical power grid is undergoing a...
master thesis 2019
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Beintema, Tim (author)
In the Netherlands the preterm birth rate is around 7%. The problematic part is that these preterm infants make up for 72% of all deaths during or shortly after birth. To provide a way to aid these infants the following question was stated by the doctor: "turn on a light in the Neonatal Intensive Care Unit when the preterm infant’s development...
master thesis 2019
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Amanda Castolina Lahiraja, Amanda (author)
Developing renewable energy sources entails new challenges which have not been faced previously by the traditional grid. One of the issues is the variability of renewable resources due to their characteristics of weather. The intermittent nature produces uncertainty in generation output, especially in solar and wind power generation. As...
master thesis 2019
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Al-Rahbi, Mohammed (author)
Human Activity Recognition (HAR) is a key enabler of various applications, including smart homes, health care, Internet of Things (IoT), and virtual reality games. A large number of HAR systems are based on wearable sensors and computer vision. However, a challenge that has emerged in the last few years entails recognizing human activities using...
master thesis 2019
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Filipouskaya, Nataly (author)
This MSc thesis was initiated as part of an interdisciplinary project researching post-disaster coastal reconstruction in the Tohoku region of Japan. On March 11, 2011, a highly destructive earthquake induced tsunami hit the north-eastern part of Honshu island, causing enormous damage to numerous small towns along the coast. Since 2011 various...
master thesis 2019
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Knipping, Jorien (author)
Wavelets have been very popular in the field of image compression and noise reduction. Another interesting application is adaptive mesh refinement. There are many wavelets with various properties, which will have different effects on different applications. There is no consensus on which wavelet is the best option for adaptive mesh refinement....
master thesis 2018
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de Moor, Timothy (author)
Wavelets are a recent development in signal processing. These kind of functions<br/>are both well-localized in time and in frequency, and so using these to transform the signal gives insight where certain frequencies are needed. The classical way of constructing wavelets, as described by Daubechies and Meyer [3,9] is only well-suited for the...
master thesis 2018
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Hidalgo Araya, Marco (author)
Deterioration of gait and balance, whether from aging, disease, or injury, has been linked to reduced mobility and increased risk of falling. Wearable sensing technologies, such as inertial measurement units (IMUs), may augment clinical assessments by providing continuous gait and balance data at an increased resolution. The objective of this...
master thesis 2018
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Hoang, Tu (author), Dumont, Joep (author)
Pressure ulcers develop when skin is subjected to a mechanical load over time, resulting in tissue damage. This occurs when a patient is in the same posture or position for a long period of time. To prevent this Momo Medical is developing a sensor plate that uses sensor data attained from the patient laying on his bed to guide the nurses, whom...
bachelor thesis 2018
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de Rooij, Tim (author)
Time-frequency analysis and digital signal processing are important tools in the field of coastal engineering. Both can be done using techniques like Fourier or wavelet analysis, however, analysts from this field experience a threshold to use wavelet analysis instead of their current methods, often Fourier-based. This is due to the lack of...
master thesis 2017
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Wagner, Emma (author)
This work is on the extension of the SWIFT method to option pricing problems where the sum of lognormals occurs. The SWIFT method (ShannonWavelet Inverse Fourier Technique) is extended to the valuation of geometric Asian options and arithmetic Asian options with a Lévy process as underlying price process and the valuation of European options...
master thesis 2017
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Kuratomi Cruz, Daniel (author)
Heart rate is a key factor in cardiovascular system monitoring and sports science. Some recent commercial applications use sensors in the ear but are faced with motion artifacts which corrupts the signal. In this report, a comprehensive review of heart rate detection methodologies was completed in order to find possible solutions with better...
master thesis 2017
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van Leeuwen, T.D. (author)
Understanding the process of human motion perception is essential for optimizing the motion cueing algorithms (MCAs) used by motion simulators. Previous research has shown that different motion cueing error types can be distinguished, at least some of which are rated differently by humans for equal error magnitude. Optimizing a motion simulation...
master thesis 2017
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Maree, S.C. (author)
This thesis is about pricing Bermudan options with the SWIFT method (Shannon Wavelets Inverse Fourier Technique). We reformulate the SWIFT pricing formula for European options to improve robustness, which allows us to heuristically select - and test the goodness - of all of the parameters a priori. Furthermore, we propose a simplified version of...
master thesis 2015
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