I am currently a professor in the Laboratoire Lagrange (UMR CNRS 7293, Observatoire de la Côte d'Azur), at the University of Nice Sophia-Antipolis. Until August 2009, I was in the Institut Charles Delaunay, with the LM2S Group, at UTT. I still colaborate with this group.

I am a member of the Institut Universitaire de France (IUF)

My research interests lie at the intersection of statistical signal processing and machine learning, and how they have synergistic effects on system monitoring. Specific interests include non-stationary signal processing, system identification, adaptive filtering, sensor networks, kernel methods, supervised and unsupervised learning.

 

Selected recent publications of what I am working on:

Nonlinear adaptive processing (identification, inverse modeling, prediction, noise cancelling) of time series data with kernels

• RICHARD, C., BERMUDEZ, J.-C., et HONEINE, P. Online prediction of time series data with kernels. IEEE transactions on signal processing, 2009, vol. 57, n° 3, p. 1058-1067. [pdf]
• PARREIRA, W., BERMUDEZ, J.-C., RICHARD, C., et TOURNERET, J.-Y. Stochastic behavior analysis of the Gaussian kernel-least-mean-square algorithm. To appear in the IEEE Transactions on signal processing, 2012. [pdf]

Adaptive filtering subject to inequality /equality constraints

• CHEN, J., RICHARD, C., BERMUDEZ, J., et HONEINE, P. Non-negative least-mean-square algorithm. IEEE Transactions on signal processing, 2011, vol. 59, n°11, p. 5225-5235. [pdf]
• CHEN, J., RICHARD, C., BERMUDEZ, J.-C., et HONEINE, P. A modified non-negative LMS algorithm and its stochastic behavior analysis. ASILOMAR’11, 6-9 November 2011, Pacific Grove. [pdf]

Nonlinear unmixing. Applications to hyperspectral data analysis

• CHEN, J., RICHARD, C., et HONEINE, P. Nonlinear unmixing of hyperspectral data based on a linear-mixture/nonlinear-fluctuation model. Submitted to the IEEE Transactions on signal processing, 2012. [pdf]
• CHEN, J., RICHARD, C., et HONEINE. A novel kernel-based nonlinear unmixing scheme of hyperspectral images. ASILOMAR’11, 6-9 November 2011, Pacific Grove. [pdf]
• HONEINE, P., et RICHARD, C. Geometric unmixing of large hyperspectral images: A barycentric coordinate approach. IEEE Transactions on geoscience and remote sensing, October 2011. [pdf]

>>> New: List of publications 2011-12 available