Searched for: subject:"sparse"
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Jacobs, A.G.M.M. (author)
bachelor thesis 2011
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Sewlal, W. (author)
Bij lineaire regressie geldt in het algemeen, dat het aantal metingen (n) groter is dan het aantal parameters (p). In praktische situaties kan het echter voorkomen, dat het aantal metingen veel kleiner is dan het aantal parameters. De kleinste kwadratenschatter kan in dat geval niet gebruikt worden om de parametervector te schatten, er is geen...
bachelor thesis 2010
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Wildeboer, M.E. (author)
Matrices zijn objecten die vrij centraal staan in de studie der wiskunde. Ze worden gebruikt om data te representeren, zoals grafen en stelsels van lineaire vergelijkingen. Soms kan het handig zijn om zo'n willekeurige matrix te kunnen benaderen met een 'schaarse' of 'gestructureerde' matrix. Nadruk ligt hierbij op het feit dat de benadering...
bachelor thesis 2012
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Dannenberg, F.G.W. (author)
Principal component analysis (PCA) is a widespread exploratory data analysis tool. Sparse principal component analysis (SPCA) is a method that improves upon PCA by increasing the number of zeros in the loading vectors of PCA results. This makes the results more understandable and more usable. This bachelor's thesis introduces both methods, and...
bachelor thesis 2010
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Dominicus, S. (author)
The next generation of ground-based telescopes have a segmented primary mirror consisting of up to 800 segments which are mounted on a support truss. These segments are actively controlled to correct for external disturbances of which wind loading is the primary source. As mirror size and number of segments grows ever larger, dynamic coupling...
master thesis 2016
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Varnai, Peter (author)
We study the important mathematical problem of approximating the inverse of low Kronecker-rank matrices in this same form. A traditional alternating least squares (ALS) scheme for solving such problems is presented, and we discuss two efficient solutions to the subproblems arising in the corresponding iterations. The first relies on a least...
master thesis 2017
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Liu, Zheheng (author)
In this thesis, we investigate a sparse basis for ultrasound images, so that we can use sparse regularization in imaging. Actually, there are few previous researches explicitly demonstrating that medical ultrasound images can be sparsified for some dictionary. We consider various orthogonal transforms such as wavelet transforms, cosine...
master thesis 2019
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Abdoel, S.M.F. (author)
master thesis 2008
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TZOTZADINIS, Chris (author)
Compressive Sensing (CS) provides a new paradigm in data acquisition and signal processing based on the assumption of sparsity and the incoherence of the received signal. Based on that concept, many radar front-end architectures have been studied with the implementation of CS. In these architectures, less data are collected but the radar scene...
master thesis 2017
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De Jong, M.A. (author)
The Maritime Research Institute Netherlands (MARIN) supplies innovative products for the offshore industry and shipping companies. Among their products are highly realistic real-time bridge simulators. Currently, the waves are deterministic and are not affected by ships, moles, breakwaters, piers, or any other object. To bring the simulators to...
master thesis 2012
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Taouil, M. (author)
One of the key kernels in scientific applications is the Sparse Matrix Vector Multiplication (SMVM). Profiling OpenFOAM, a sophisticated scientific Computational Fluid Dynamics tool, proved the SMVM to be its most computational intensive kernel. A traditional way to solve such computationally intensive problems in scientific applications is to...
master thesis 2009
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Ram, Raju (author)
Groundwater, present beneath the earth’s surface in soil pore spaces, is the primary source of fresh water that we use in day to day life. Hydrologists at Dutch research institute Deltares are developing large groundwater models to support water man- agers in their decision-making process. For example, these models simulate effects such as water...
master thesis 2017
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Kästner, K. (author)
This thesis is about the numerical approximation of the spectrum of the confined hydrogen atom. The energy levels and wave functions of the hydrogen atom are modelled by the corresponding eigenvalues and eigenvectors of the Schrödinger equation with Coulomb potential. At first different discretisation techniques for the hydrogenic Schrödinger...
master thesis 2012
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Taal, A.J. (author)
This thesis presents a novel nanophotonic Metal-Insulator-Metal (MIM) grating structure that diffracts incident light by filtering colour based on interference. The grating creates two independent self-images (Talbot patterns) for two almost arbitrarily tuneable wavelengths in the visible spectrum. Lens-less imaging is promising for its ability...
master thesis 2017
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Ortiz Jimenez, Guillermo (author)
In this era of data deluge, we are overwhelmed with massive volumes of extremely complex datasets. Data generated today is complex because it lacks a clear geometric structure, comes in great volumes, and it often contains information from multiple domains. In this thesis, we address these issues and propose two theoretical frameworks to handle...
master thesis 2018
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Shakeri, S. (author)
In this work a new location fingerprinting-based localization algorithm is proposed for an underwater medium by utilizing ultra-wideband (UWB) signals. In many conventional underwater systems, localization is accomplished by utilizing acoustic waves. On the other hand, electromagnetic waves haven't been employed for underwater localization due...
master thesis 2012
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Visser, Adriaan (author)
This work determines whether the amount of frequency components present in the data can be reduced, whilst still retaining image quality, whereas most efforts in seismological research are done in reducing spatial sampling. It is shown using a PCA on the frequency spectra of several data sets that indeed a large redundancy in frequency content...
master thesis 2018
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Hu, K. (author)
Near-field source localization is an important aspect in many diverse areas such as acoustics, seismology, to list a few. The planar wave assumption frequently used in far-field source localization is no longer valid when the sources are in the near field. Near-field sources can be localized by solving a joint direction-of-arrival and range...
master thesis 2014
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Sigurbergsson, Bjorn (author)
The trend of computing faster and more efficiently has been a driver for the computing industry since its beginning. However, it is increasingly difficult to continue this trend because current CMOS technology cannot be down-scaled anymore due to physical restrictions. Consequently, to obtain the next major performance improvement, the focus is...
master thesis 2018
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Keijsers, J.G.M. (author)
Increasing demands for mobile internet access have led to exponential developments in mobile communications technologies. The next generation mobile technology is expected to exploit electronic beam steering and to have a higher operating frequency to facilitate a higher bandwidth. This places a heavy burden on the base station antenna arrays,...
master thesis 2016
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