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van der Werf, I. (author), Dol, H. S. (author), Blom, K. (author), Heusdens, R. (author), Hendriks, R.C. (author), Leus, G.J.T. (author)In this paper, we show the mathematical equivalence of two popular modulation schemes: OSDM and OTFS. The former is mainly used in underwater acoustic communications, while the latter scheme is a promising modulation technique in radio-frequency communications. Although literature suggests a link between the two modulation schemes by connecting...journal article 2023
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Çalış, M. (author), Heusdens, R. (author), Hendriks, R.C. (author), van de Par, Steven (author)The processing of low-frequency interaural time differences is found to be problematic among hearing-impaired people. The current generation of beamformers does not consider this deficiency. In an attempt to tackle this issue, we propose to replace the inaudible interaural time differences in the low-frequency region with the interaural level...journal article 2021
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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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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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Rajabzadeh, Aydin (author), Heusdens, R. (author), Hendriks, R.C. (author), Groves, R.M. (author)In this letter, we propose a method for estimating the length of single-mode fiber Bragg grating type sensors with high accuracy. Our method is based on calculating the maximum oscillation frequency of the side-lobes of the FBG reflection spectrum. We show that this frequency is independent of the stress field to which the sensor is subjected...journal article 2019
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Koutrouvelis, A. (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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Rajabzadeh, Aydin (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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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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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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Rajabzadeh, Aydin (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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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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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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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
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Taal, C.H. (author), Hendriks, R.C. (author), Heusdens, R. (author), Jensen, J. (author)Existing objective speech-intelligibility measures are suitable for several types of degradation, however, it turns out that they are less appropriate in cases where noisy speech is processed by a time-frequency weighting. To this end, an extensive evaluation is presented of objective measure for intelligibility prediction of noisy speech...journal article 2011
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Van Bijleveld, C. (author), Hendriks, R.C. (author), Heusdens, R. (author), Taal, C.H. (author)A pair of properly functioning ears is of great importance for various common daily tasks. While the perception of speech is perhaps one of the most obvious examples, being notified by certain sounds like (fire-) alarms or traffic sounds can even be lifesaving. Therefore it is not surprising that hearing impairment may have a strong (social)...journal article 2010
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Heusdens, R. (author), Hendriks, R.C. (author), Jensen, J. (author), Kjems, U. (author)Although most noise reduction algorithms are critically dependent on the noise power spectral density (PSD), most procedures for noise PSD estimation fail to obtain good estimates in nonstationary noise conditions. Recently, a DFT-subspace-based method was proposed which improves noise PSD estimation under these conditions. However, this...journal article 2009
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Hendriks, R.C. (author), Heusdens, R. (author), Kjems, U. (author), Jensen, J. (author)In this letter we present discrete Fourier transform (DFT) domain minimum mean-squared error (MMSE) estimators for multichannel noise reduction. The estimators are derived assuming that the clean speech magnitude DFT coefficients are generalized-Gamma distributed. We show that for Gaussian distributed noise DFT coefficients, the optimal...journal article 2009
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Hendriks, R.C. (author), Jensen, J. (author), Heusdens, R. (author)All discrete Fourier transform (DFT) domain-based speech enhancement gain functions rely on knowledge of the noise power spectral density (PSD). Since the noise PSD is unknown in advance, estimation from the noisy speech signal is necessary. An overestimation of the noise PSD will lead to a loss in speech quality, while an underestimation will...journal article 2008
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Erkelens, J.S. (author), Hendriks, R.C. (author), Heusdens, R. (author)This letter considers the estimation of speech signals contaminated by additive noise in the discrete Fourier transform (DFT) domain. Existing complex-DFT estimators assume independency of the real and imaginary parts of the speech DFT coefficients, although this is not in line with measurements. In this letter, we derive some general results on...journal article 2008