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Yu, Wenrui (author)
Privacy concerns in federated learning have attracted considerable attention recently. In centralized networks, it has been observed that even without directly exchanging raw training data, the exchange of other so-called intermediate parameters such as weights/gradients can still potentially reveal private information. However, there has been...
master thesis 2023
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Jordan, Sebastian (author)
In recent years, the large increase in connected devices and the data that is collected by these devices has caused a heightened interest in distributed processing. Many practical distributed networks are of heterogeneous nature. Because of this, algorithms operating within these networks need to be simple, robust against network dynamics and...
master thesis 2022
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Bologni, Giovanni (author)
Acoustic room geometry estimation is often performed in ad hoc settings, i.e., using multiple microphones and sources distributed around the room, or assuming control over the excitation signals. To facilitate practical applications, we propose a fully convolutional network (FCN) that localizes reflective surfaces under the relaxed assumptions...
master thesis 2020
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Ergin, Mert (author)
The thesis project is aimed at designing an unobtrusive method to find the obstruction location and severity for patients who are not diagnosed with Obstructive sleep apnea, during their non-sedated sleep using simple recording devices within uncontrolled environment. Similar to speech generation, which is enabled by opening and closing of the...
master thesis 2018
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van der Vlist, Rik (author)
A phase estimation algorithm is presented to estimate the phase of a recurring pattern in a nonstationary signal. The signal is modelled by a template signal that represents one revolution of the recurring pattern, and that the frequency of this pattern can change at any time with no assumptions about local stationarity. The algorithm uses a...
master thesis 2018
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Montesinos García, Lucas (author)
Authentication is becoming an increasingly important application in the connected world and is driven by the growing use of mobile and IoT devices that use an increasing number of applications that require transactions of sensitive data. Security usually relies on passwords and/or two-factor authentication which are too intrusive for daily use....
master thesis 2018
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Jonkman, Jake (author)
Recently, the effects of quantization on the Primal-Dual Method of Multipliers were studied.<br/>In this thesis, we have used this method as an example to further investigate the effects of quantization on distributed optimization schemes in a much broader sense. Using monotone operator theory, the effect of quantization on all distributed...
master thesis 2017
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Xu, Boliang (author)
Packet communication applications cannot guarantee correct delivery of every packet. Congestions and interferences in the network lead to lost packets. However, real-time applications require timely delivery of data or information and always tolerate packet loss to achieve this aim. When some speech packets are lost, packet loss concealment (PLC...
master thesis 2017
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Yu, W. (author)
master thesis 2017
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Coutiño Minguez, M.A. (author)
Echoes generated by the sound reflected off the walls of a room carry information about the geometry of the enclosure. Capitalization of this acoustic property could lead to improvements in current state-of-the-art methods for sound field estimation, where prior information can be used to improve the conditioning of the problem. In this thesis,...
master thesis 2016
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Schellekens, D.H.M. (author)
Nowadays, large-scale networks of computing units, often characterized by the absence of central control, have become more commonplace in many applications. To facilitate data processing in these large-scale networks distributed signal processing is required. The iterative behaviour of distributed processing algorithms combined with the limited...
master thesis 2016
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Solera, R.E. (author)
This work presents a study of a current problem in the field of audio processing: Source and receiver localization. Currently, this problem requires that either the onset time of the sources or the internal delay of the receivers are known. The algorithms studied here, take advantage of the structure of the time matrix, which contains the TOA of...
master thesis 2015
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Nano, M. (author)
In 2010, an estimated 14.9 million babies were born preterm, which amounted to 11.1% of all livebirths worldwide, ranging from about 5% in several European countries to 18% in some African countries . The rate of preterm births has increased remarkably. Prematurity of birth can predispose neonates to undesirable cessations of breathing, a...
master thesis 2015
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Panagiotou, V. (author)
Change-point detection is an indispensable tool for awide variety of applications which has been extensively studied in the literature over the years. However, the development of wireless devices and miniature sensors that allows continuous recording of data poses new challenges that cannot be adequately addressed by the vast majority of...
master thesis 2015
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Jager, I. (author)
Some vision impaired people can hear the shape of a room using acoustic echoes. A computer being able to do the same could benefit applications such as auralization, virtual reality and teleconferencing. This thesis describes the process of estimating the room shape from acoustic room impulse responses to finding geometry from image sources. As...
master thesis 2015
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Zhang, H.M. (author)
The Primal-Dual Method of Multipliers (PDMM) is a new algorithm that solves convex optimization problems in a distributed manner. This study focuses on the convergence behavior of the PDMM. For a deeper understanding, the PDMM algorithm was applied to distributed averaging and distributed dictionary learning problems. The results were compared...
master thesis 2015
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Feng, D. (author)
Estimate Heart Rate Variability (HRV) from a PPG signal with low sampling rate. Compare the performance with the HRV obtained from other methods that using a high sampling rate.
master thesis 2015
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Koutrouvelis, A.I. (author)
The first part of the present thesis reviews the speech production mechanism and several models of the glottal flow derivative waveform and of the vocal tract filter. The source filter model is investigated in depth, since it is the most important "ingredient" of linear prediction analysis. We also review seven linear prediction (LP) methods...
master thesis 2014
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Roeling, E.G.H. (author)
In this thesis an existing method to localise phones in an indoor environment is extended. For this a new method to synchronise the clocks in presented. When looking at the different causes of localisation errors we conclude that the incorrect detection of the time of arrival (TOA) gives the largest errors. This is why we focus on the detection...
master thesis 2013
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Aarts, M. (author), Pries, H. (author), Doff, A. (author)
Nowadays, noise reduction in mobile communication is an increasingly important topic. This thesis discusses the possibilities of using beamforming with a two microphone array for smartphone applications. The goal of the project is to realise a beamforming algorithm for smartphones to improve on current Signal to Noise ratios attained by standard...
bachelor thesis 2012
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