Searched for: subject%3A%22sensor%255C%252Bnetwork%22
(1 - 6 of 6)
document
Zhang, J. (author)
In speech processing applications, e.g., speech recognition, hearing aids (HAs), video conferencing, and human-computer interaction, speech enhancement or noise reduction is an essential front-end task, as the recorded speech signals are inevitably corrupted by interference, including coherent/incoherent noise and reverberation. Traditional...
doctoral thesis 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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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), 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
document
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
document
Zhang, H. (author)
For energy management in wireless sensor networks, only the sensors with most informative measurements are activated to operate. How to select sensors that make good tradeoff between performance and energy consumption is what many researchers are focusing on. Existing solutions assume analog data model, i.e., the data from sensors collected by a...
master thesis 2015
Searched for: subject%3A%22sensor%255C%252Bnetwork%22
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