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

ArXiV

ADOPT: Analytical Demodulation of Periodic Textures for In-Plane Wave Tracking

J. Jouidi, F. Chatelain, L. Bailly, and 3 more authors

2026

arXiv Bib

@article{jouidi2026JASA,
  title = {ADOPT: Analytical Demodulation of Periodic Textures for In-Plane Wave Tracking},
  author = {Jouidi, J. and Chatelain, F. and Bailly, L. and Granjon, P. and {Le Bihan}, N. and Catheline, S.},
  journal = {},
  year = {2026},
  volume = {},
  pages = {},
}

ArXiV

On the rank of quaternion Hankel matrices

P. Flores, J. Flamant, and N. Le Bihan

2026

arXiv Bib

@article{flores2026LAA,
  title = {On the rank of quaternion Hankel matrices},
  author = {Flores, P. and Flamant, J. and {Le Bihan}, N.},
  journal = {},
  year = {2026},
  volume = {},
  pages = {},
}

IEEE SPL

Beyond R-Barycenters: An Effective Averaging Method on Stiefel and Grassmann Manifolds

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

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 = {IEEE Signal Processing Letters},
  year = {2025},
  volume = {32},
  pages = {1950-1954},
  doi = {10.1109/LSP.2025.3562735},
}