collaborators

7 papers

eess.SP2026

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…

eess.AS2026

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…

eess.AS2026

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…

eess.AS2025

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…

eess.AS2025

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…

eess.AS2025

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…