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CNRS / Gipsa-Lab (UMR 5216)

Dept Images Signal
11 Rue des mathematiques
38402 St Martin d'Heres, FRANCE


Welcome ! I am currently a research fellow with the CNRS at Gipsa-Lab. From 2013 to 2015, I was a visiting research fellow at the Department of Electronic and Electrical Engineering, The University of Melbourne, Australia. My research in Melbourne and Grenoble was supported by a Marie Curie International Outgoing Fellowship (IOF) from the European Union and the CNRS.

PhD Position available

Together with Christophe Prieur, we have a scholarship available for a PhD candidate, starting as soon as possible. The PhD subject description can be found here. This PhD is to be conducted in collaboration with the SYSNAV company. Applicants should hold nationality from a European country. If interested, please make contact.

LIA GEODESIC: New Website.

The LIA GEODESIC is an International Associated Lab co-funded by the CNRS, France, and the University of Melbourne, Australia. Visit our website for annoucements, internship positions and opportunities related to Geometry Driven Signal and Image Processing Lab. Website

BiSPy: a python framework for bivariate signal processing, available here with documentation.

Bispy is a Python toolbox for bivariate signal processing. It comes along with our submitted paper "Time-frequency analysis of bivariate signals", by J. Flamant, N. Le Bihan and P. Chainais (ArXiV version).

Hypercomplex Signal Processing: a special issue of Elsevier Signal Processing magazine (link).

With my colleagues Todd A. Ell, Danilo Mandic, Tohru Nitta and Stephen J. Sangwine, we have co-edited a special issue of the Elsevier Signal Processing journal dedicated to hypercomplex signal processing latest advances.

Quaternion Fourier transforms for signal and image processing, (ISTE-Wiley, May 2014, ISBN 978-1-84821-478-1)


Based on updates to signal and image processing technology made in the last two decades, this text examines the most recent research results pertaining to Quaternion Fourier Transforms (QFT). QFT is a central component of processing color images and complex valued signals. The book’s attention to mathematical concepts, imaging applications, and Matlab compatibility render it an irreplaceable resource for students, scientists, researchers, and engineers.

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