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20222026
most citedOne-Shot Distributed Node-Specific Signal Estimation with Non-Overlapping Latent Subspaces in Acoustic Sensor Networks

2 citations · 6 across the 9 of their papers we have counts for

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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.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

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.IV2026

FUTON: Fourier Tensor Network for Implicit Neural Representations

Pooya Ashtari, Pourya Behmandpoor, Nikos Deligiannis +1

Implicit neural representations (INRs) have emerged as powerful tools for encoding signals, yet dominant MLP-based designs often suffer from slow convergence, overfitting to noise,…

eess.SP2026

Master-Assisted Distributed Uplink Operation for Cell-Free Massive MIMO Networks

Andreas Angelou, Pourya Behmandpoor, Marc Moonen

Cell-free massive multiple-input-multiple-output is considered a promising technology for the next generation of wireless communication networks. The main idea is to distribute a l…