Nicolas Le Bihan

"Knowledge isn't free. You have to pay attention", R.P. Feynman.

I am currently a senior research fellow with the CNRS at Gipsa-lab in Grenoble, France. Since 2020, I am in the GAIA team at Gipsa-Lab.

From 2013 to 2015, I was a visiting research fellow at the University of Melbourne, Australia. My research in Melbourne was supported by a Marie Curie International Outgoing Fellowship (IOF) from the European Union and the CNRS.

My research interests include: bivariate signal processing, statistics on groups and manifolds, polarized time series analysis and their application in gravitational wave astronomy.

selected publications

SSP

Damped ellipse decomposition for bivariate signals

P. Flores, J. Flamant, P.-O. Amblard, and 1 more author

In 2025 IEEE Statistical Signal Processing Workshop (SSP), 2025

Bib

@inproceedings{flores2025ssp,
  author = {Flores, P. and Flamant, J. and Amblard, P.-O. and {Le Bihan}, N.},
  booktitle = {2025 IEEE Statistical Signal Processing Workshop (SSP)},
  title = {Damped ellipse decomposition for bivariate signals},
  year = {2025},
}

IEEE SPL

Beyond R-barycenters: an effective averaging method on Stiefel and Grassmann manifolds

F. Bouchard, N. Laurent, S. Said, and 1 more author

to appear in IEEE Signal processing Letters, 2025

DOI arXiv Bib

@article{bouchard2025IEEESPL,
  title = {{Beyond R-barycenters: an effective averaging method on Stiefel and Grassmann manifolds}},
  author = {Bouchard, F. and Laurent, N. and Said, S. and {Le Bihan}, N.},
  journal = {to appear in IEEE Signal processing Letters},
  year = {2025},
  doi = {10.1109/LSP.2025.3562735},
}

EUSIPCO

The geometric phase of bivariate signals

N. Le Bihan, J. Flamant, and P.-O. Amblard

In 32nd European Signal Processing Conference, EUSIPCO 2024, 2024

DOI Bib

@inproceedings{lebihan2024eusipco,
  title = {{The geometric phase of bivariate signals}},
  author = {{Le Bihan}, N. and Flamant, J. and Amblard, P.-O.},
  booktitle = {{32nd European Signal Processing Conference, EUSIPCO 2024}},
  address = {Lyon, France},
  year = {2024},
  hal = {hal-04691994/file/0002562.pdf},
  hal_id = {hal-04691994},
  doi = {10.23919/EUSIPCO63174.2024.10715274},
}