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

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 = {},
}

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

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},
}