Searched for: author:"Heusdens, R."
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Li, Qiongxiu (author), Gundersen, Jaron Skovsted (author), Heusdens, R. (author), Christensen, Mads Græsbøll (author)
Privacy-preserving distributed processing has recently attracted considerable attention. It aims to design solutions for conducting signal processing tasks over networks in a decentralized fashion without violating privacy. Many existing algorithms can be adopted to solve this problem such as differential privacy, secure multiparty...
journal article 2021
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Kotti, S. (author), Heusdens, R. (author), Hendriks, R.C. (author)
The use of wireless acoustic sensor networks (WASNs) has received increased attention over the last decade. The advantages of WASNs over stand-alone multi-microphone devices are that the microphone array is not anymore limited by the dimensions of a single device, and that microphones can be placed at arbitrary locations. One of the...
conference paper 2020
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Çalış, M. (author), Heusdens, R. (author), Hendriks, R.C. (author)
Average consensus algorithms are used in many distributed systems such as distributed optimization, sensor fusion and the control of dynamic systems. Consensus algorithms converge through an explicit exchange of state variables. In some cases, however, the state variables are confidential. In this paper, a privacy-preserving asynchronous...
conference paper 2020
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Li, Qiongxiu (author), Heusdens, R. (author), Christensen, M. Graesboll (author)
Over the past decades, privacy-preservation has received considerable attention, not only as a consequence of regulations such as the General Data Protection Regulation in the EU, but also from the fact that people are more concerned about data abuse as the world is becoming increasingly digitized. In this paper we propose a convex optimization...
conference paper 2020
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Zaccà, V.G. (author), Martínez-Nuevo, Pablo (author), Møller, Martin Bo (author), Martinez, Jorge (author), Heusdens, R. (author)
Accurate sound field reproduction in rooms is often limited by the lack of knowledge of the room characteristics. Information about the room shape or nearby reflecting boundaries can, in principle, be used to improve the accuracy of the reproduction. In this paper, we propose a method to infer the location of nearby reflecting boundaries from...
conference paper 2020
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Amini, J. (author), Hendriks, R.C. (author), Heusdens, R. (author), Guo, Meng (author), Jensen, Jesper (author)
Wireless acoustic sensor networks (WASNs) can be used for centralized multi-microphone noise reduction, where the processing is done in a fusion center (FC). To perform the noise reduction, the data needs to be transmitted to the FC. Considering the limited battery life of the devices in a WASN, the total data rate at which the FC can...
journal article 2020
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Amini, J. (author), Hendriks, R.C. (author), Heusdens, R. (author), Guo, Meng (author), Jensen, Jesper (author)
Compared to monaural hearing aids (HAs), binaural hearing aid systems, in which there is a communication link between the two devices, have improved noise reduction capabilities and the ability to preserve binaural spatial information. However, the limited HA battery lifetime puts constraints on the amount of information that can be shared...
journal article 2020
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Li, Qiongxiu (author), Heusdens, R. (author), Christensen, Mads Græsbøll (author)
In many applications of wireless sensor networks, it is important that the privacy of the nodes of the network be protected. Therefore, privacy-preserving algorithms have received quite some attention recently. In this paper, we propose a novel convex optimization-based solution to the problem of privacy-preserving distributed average consensus....
conference paper 2020
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Zhang, J. (author), Heusdens, R. (author), Hendriks, R.C. (author)
Power usage is an important aspect of wireless acoustic sensor networks (WASNs) and reducing the amount of information that is to be transmitted is one effective way to save it. In previous contributions, we presented sensor selection as well as rate distribution methods to reduce the power usage of beamforming algorithms in WASNs. Taking...
conference paper 2019
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Sherson, T.W. (author), Heusdens, R. (author), Kleijn, W.B. (author)
In this paper, we present a novel derivation of an existing algorithm for distributed optimization termed the primal-dual method of multipliers (PDMM). In contrast to its initial derivation, monotone operator theory is used to connect PDMM with other first-order methods such as Douglas-Rachford splitting and the alternating direction method...
journal article 2019
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Zhang, J. (author), Koutrouvelis, A. (author), Heusdens, R. (author), Hendriks, R.C. (author)
In this letter, we propose a decentralized framework for rate-distributed linearly constrained minimum variance (LCMV) beamforming in wireless acoustic sensor networks. To save the energy usage within the network, we propose to minimize the transmission cost and put a constraint on the noise reduction performance. Subsequently, we...
journal article 2019
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Koutrouvelis, A. (author), Hendriks, R.C. (author), Heusdens, R. (author), Jensen, Jesper (author)
The recently proposed relaxed binaural beamforming (RBB) optimization problem provides a flexible tradeoff between noise suppression and binaural-cue preservation of the sound sources in the acoustic scene. It minimizes the output noise power, under the constraints, which guarantee that the target remains unchanged after processing and the...
journal article 2019
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Rajabzadehdizaji, A. (author), Heusdens, R. (author), Hendriks, R.C. (author), Groves, R.M. (author)
In this paper, we propose a novel approach to characterise barely visible transverse matrix cracks in composite structures using fibre Bragg grating (FBG) optical sensors. Matrix cracks are one of the most prevalent types of damage in composite structures, and detecting them in the internal layers of composites has remained a challenge. In...
journal article 2019
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Koutrouvelis, Andreas I. (author), Hendriks, R.C. (author), Heusdens, R. (author), Jensen, Jesper (author)
One of the biggest challenges in multimicrophone applications is the estimation of the parameters of the signal model, such as the power spectral densities (PSDs) of the sources, the early (relative) acoustic transfer functions of the sources with respect to the microphones, the PSD of late reverberation, and the PSDs of microphone-self noise...
journal article 2019
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Zhang, J. (author), Heusdens, R. (author), Hendriks, R.C. (author)
In this paper, we present an algorithm to estimate the relative acoustic transfer function (RTF) of a target source in wireless acoustic sensor networks (WASNs). Two well-known methods to estimate the RTF are the covariance subtraction (CS) method and the covariance whitening (CW) approach, the latter based on the generalized eigenvalue...
journal article 2019
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Zhang, J. (author), Heusdens, R. (author), Hendriks, R.C. (author)
In wireless acoustic sensor networks (WASNs), sensors typically have a limited energy budget as they are often battery driven. Energy efficiency is therefore essential to the design of algorithms in WASNs. One way to reduce energy costs is to only select the sensors which are most informative, a problem known as sensor selection. In this way,...
journal article 2018
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Rajabzadehdizaji, A. (author), Heusdens, R. (author), Hendriks, R.C. (author), Groves, R.M. (author)
In the past few decades, fibre Bragg grating (FBG) sensors have gained a lot of attention in the field of distributed point strain measurement. One of the most interesting properties of these sensors is the presumed linear relationship between the strain and the peak wavelength shift of the FBG reflected spectra. However, subjecting sensors to a...
journal article 2018
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Koutrouvelis, A. (author), Sherson, T.W. (author), Heusdens, R. (author), Hendriks, R.C. (author)
We propose a new robust distributed linearly constrained beamformer which utilizes a set of linear equality constraints to reduce the cross power spectral density matrix to a block-diagonal form. The proposed beamformer has a convenient objective function for use in arbitrary distributed network topologies while having identical performance...
journal article 2018
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Rajabzadeh, Aydin (author), Hendriks, R.C. (author), Heusdens, R. (author), Groves, R.M. (author)
This paper describes a new method for the classification and identification of two major types of defects in composites, namely delamination and matrix cracks, by classification of the spectral features of fibre Bragg grating (FBG) signals. In aeronautical applications of composites, after a damage is detected, it is very useful to know the...
conference paper 2017
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Koutrouvelis, A. (author), Hendriks, R.C. (author), Heusdens, R. (author), Jensen, Jesper (author)
In this paper, we propose a new binaural beamforming technique, which can be seen as a relaxation of the linearly constrained minimum variance (LCMV) framework. The proposed method can achieve simultaneous noise reduction and exact binaural cue preservation of the target source, similar to the binaural minimum variance distortionless response ...
journal article 2017
Searched for: author:"Heusdens, R."
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