7 citations · 8 across the 9 of their papers we have counts for
11 papers
Cooperative Uplink Channel Estimation in User-Centric Cell-free Massive MIMO Communication Networks
Pourya Behmandpoor, Marc Moonen
Cell-free massive multi-input-multi-output (CFmMIMO) communication networks aim to provide uniform quality of service by distributing access points (APs) across a coverage area. In…
On the Use of Dereverberation for Acoustic Feedback Cancellation
Basil Liekens, Arnout Roebben, Toon van Waterschoot +1
In public address systems and hearing aids, the maximally achievable amplification or gain is limited by acoustic feedback. Therefore, in order to be able to apply a higher gain, f…
Sound field estimation with moving microphones using kernel ridge regression
Jesper Brunnström, Martin Bo Møller, Jan Østergaard +3
Sound field estimation with moving microphones can increase flexibility, decrease measurement time, and reduce equipment constraints compared to using stationary microphones. In th…
Time-domain sound field estimation using kernel ridge regression
Jesper Brunnström, Martin Bo Møller, Jan Østergaard +3
Sound field estimation methods based on kernel ridge regression have proven effective, allowing for strict enforcement of physical properties, in addition to the inclusion of prior…
Improved Topology-Independent Distributed Adaptive Node-Specific Signal Estimation for Wireless Acoustic Sensor Networks
Paul Didier, Toon van Waterschoot, Simon Doclo +2
This paper addresses the challenge of topology-independent (TI) distributed adaptive node-specific signal estimation (DANSE) in wireless acoustic sensor networks (WASNs) where sens…
Fast-Converging Distributed Signal Estimation in Topology-Unconstrained Wireless Acoustic Sensor Networks
Paul Didier, Toon van Waterschoot, Simon Doclo +2
This paper focuses on distributed signal estimation in topology-unconstrained wireless acoustic sensor networks (WASNs) where sensor nodes only transmit fused versions of their loc…
A Comparative Analysis of Generalised Echo and Interference Cancelling and Extended Multichannel Wiener Filtering for Combined Noise Reduction and Acoustic Echo Cancellation
Arnout Roebben, Toon van Waterschoot, Marc Moonen
Two algorithms for combined acoustic echo cancellation (AEC) and noise reduction (NR) are analysed, namely the generalised echo and interference canceller (GEIC) and the extended m…
Topology-Independent GEVD-Based Distributed Adaptive Node-Specific Signal Estimation in Ad-Hoc Wireless Acoustic Sensor Networks
Paul Didier, Toon van Waterschoot, Marc Moonen
A low-rank approximation-based version of the topology-independent distributed adaptive node-specific signal estimation (TI-DANSE) algorithm is introduced, using a generalized eige…
Cascaded noise reduction and acoustic echo cancellation based on an extended noise reduction
Arnout Roebben, Toon van Waterschoot, Marc Moonen
In many speech recording applications, the recorded desired speech is corrupted by both noise and acoustic echo, such that combined noise reduction (NR) and acoustic echo cancellat…
Distributed Adaptive Norm Estimation for Blind System Identification in Wireless Sensor Networks
Matthias Blochberger, Filip Elvander, Randall Ali +4
Distributed signal-processing algorithms in (wireless) sensor networks often aim to decentralize processing tasks to reduce communication cost and computational complexity or avoid…
Sampling Rate Offset Estimation and Compensation for Distributed Adaptive Node-Specific Signal Estimation in Wireless Acoustic Sensor Networks
Paul Didier, Toon van Waterschoot, Simon Doclo +1
Sampling rate offsets (SROs) between devices in a heterogeneous wireless acoustic sensor network (WASN) can hinder the ability of distributed adaptive algorithms to perform as inte…