activity
20242026
collaborators

5 papers

eess.AS2026

Distributed Multichannel Wiener Filtering for Topology-Unconstrained Wireless Acoustic Sensor Networks

Paul Didier, Pourya Behmandpoor, Henri Gode +4

This paper introduces the topology-independent distributed multichannel Wiener filter (TI-dMWF), a novel algorithm for distributed node-specific signal estimation in wireless acous…

eess.AS2026

Distributed Multichannel Wiener Filtering for Wireless Acoustic Sensor Networks

Paul Didier, Toon van Waterschoot, Simon Doclo +4

[This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.] In a wireles…

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

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…

eess.AS2024

One-Shot Distributed Node-Specific Signal Estimation with Non-Overlapping Latent Subspaces in Acoustic Sensor Networks

Paul Didier, Pourya Behmandpoor, Toon van Waterschoot +1

A one-shot algorithm called iterationless DANSE (iDANSE) is introduced to perform distributed adaptive node-specific signal estimation (DANSE) in a fully connected wireless acousti…