Signals and Systems Laboratory (UMR 8506)
The Laboratoire des Signaux et Systèmes (L2S) is a joint research unit (UMR8506) between the Centre national de la recherche scientifique (CNRS), CentraleSupélec and Paris-Sud University. It is primarily connected to the Institut des sciences de l’information et de leurs interactions (INS2I) [Institute of Information Sciences and their Interactions]. It has a secondary affiliation with the CNRS Institut des sciences de l’ingénierie et des systèmes (INSIS) [Institute of Engineering and Systems Sciences].
In addition to its many visitors and interns, it now has:
- 134 people, including 20 CNRS researchers
- 21 Paris-Sud University instructor-researchers
- 39 CentraleSupélec instructor-researchers
- 2 Inria researchers
- 4 affiliate researchers
- 8 CNRS engineers and technicians
- 5 CentraleSupélec engineers and technicians
- 1 engineering, technician and administrative staff and 110 PhD students and post-doctoral students
L2S has extensive expertise that covers various fields of hard sciences and engineering sciences:
- Signal Processing (image, sound, vision)
- Electronic CAD
- Electrical Engineering
The areas of interest for the Signals and Systems Laboratory covers several scientific disciplines:
- The fundamentals and application fields of mathematics, which have allowed the development of signal processing, information, cryptography and digital theory
- Physics, which develops theories using mathematical tools to describe and predict the evolution of systems, and which is the origin of the theory of electromagnetism
L2S’s work is organized by clusters.
Research topics of the Signals and Statistics cluster revolve around two main priorities: the statistical modeling group and the inverse problems group.
The Telecoms and Networks cluster conducts research in the field of networks, telecommunications and multimedia security. The application context of its work primarily involves mobile wireless, self-organizing networks, and the relationships between communication networks and energy networks.
It makes extensive use of tools such as joint source-protocol-channel encoding and decoding, robustness compression of still images and video, distributed source coding, oversampled frames, game theory, information geometry, stochastic geometry, tattooing and shorthand.
The Automation and Systems cluster is interested in mechanical and electrical systems: passivity-based control, active vibration control, electronic power systems, non-linear and hybrid control systems:
- Control and supervision of complex systems
- Sampled control, estimating and modeling: estimation of parameters and the state of nonlinear systems
“Black box” modeling and estimation of parameters varying over time