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  • KU Leuven University, ESAT, STADIUS
  • Leuven, Belgium
  • LinkedIn in/paul-didier

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p-didier/README.md

Paul Didier

PhD in audio signal processing from KU Leuven, Belgium. I focused on distributed signal processing in wireless acoustic sensor networks. Used to building simulation tooling and caring about reproducibility.


What I'm working on

In transition; new projects coming soon.


Selected past work

  • ti-dmwf_complete: Topology-independent distributed multichannel Wiener filter for wireless acoustic sensor networks
  • tidanseplus_batch: Simulation code for the TI-DANSE+ paper (EUSIPCO 2023)

Stack

Python, and a legacy relationship with MATLAB I'm slowly moving on from.


Get in touch

Open to conversations about MIR, rhythm, and signal processing applied to music.

Pinned Loading

  1. ti-dmwf_complete ti-dmwf_complete Public

    Topology-independent distributed multichannel Wiener filter (TI-dMWF) for distributed signal estimation in wireless acoustic sensor networks.

    Python

  2. tidanseplus_batch tidanseplus_batch Public

    Code used to generate the simulation results reported in: P. Didier, T. van Waterschoot, S. Doclo, J. Bitzer, and M. Moonen, “Improved Topology-Independent Distributed Adaptive Node-Specific Signal…

    Python 1

  3. SOUNDS-RESEARCH/outscape SOUNDS-RESEARCH/outscape Public

    The Outscape game presented at Science is Wonderful! 2023 in Brussels.