The C2S team is recognized internationally for its ability to incorporate digital intelligence into AMS and RF SoCs, such as analogic digital converters (ADCs) and RF transmitters for cognitive radio. The team designs high-performance AMS and RF SoCs, by drawing on its expertise in the production of CMOS chips combined with its experience in signal processing and knowledge of the other network layers, where the skills of LTCI members are recognized. The aim is to develop interfacing elements or “building bricks” between connected objects and the real world via sensors, and between connected objects and the core of the system via communications, especially RF.
Our key contributions are in the following fields:
- Architectural breakthrough
- Transceivers in a specific environment, very low power consumption
- Agile, reconfigurable and broadband circuits and systems
- Innovative algorithms
- Digital correction of RF imperfections
Team members
- Patricia Desgreys, Professor, team leader
- Paul Chollet, Associate Professor
- Chadi Jabbour, Associate Professor
- Germain Pham, Associate Professor
Key words
- Smart AMS systems
- Frugal signal processing
- Smart radio
- Cyber-physical system interfaces
LTCI latest news
Software heritage: ISO/IEC 18670 is now official
Faculty Members, Very Large Networks and Systems — 20/05/2025This standard enables unique, persistent and verifiable identification of software artefacts (source [...]
Quantum-Saclay: bringing quantum together (IP Paris)
Faculty Members, Very Large Networks and Systems — 15/05/2025Romain Alléaume: "We're developing new communication systems for quantum networks, and we're also [...]
Florence Tupin distinguished by IEEE Geoscience and Remote Sensing Society
Faculty Members, Modeling — 27/03/2025She develops innovative image processing and analysis methods, with recognised expertise in [...]
[Ideas] Sound revolution and machine listening
Data Science & AI, Faculty Members, Modeling — 14/03/2025Gaël Richard, "Hi-Audio": How does the machine learn to listen and create?
RAMSES platform, mission-critical real-time embedded systems
Digital Trust, Faculty Members — 10/03/2025RAMSES offers an AADL (Architecture Analysis and Design Language) compiler, a standardized language used [...]
Post-quantum cryptography according to Mélissa Rossi
Graduates, Digital Trust — 06/03/2025Mélissa Rossi is a graduate of Télécom Paris (class of 2016) and a cryptography expert at ANSSI (French [...]
“Denoising” radar satellite images with AI (IP Paris)
Data Science & AI, Faculty Members — 07/02/2025Florence Tupin uses deep learning to obtain images cleared from the fluctuations inherent in radar [...]
Putting power-hungry AI on an energy diet (IP Paris)
Data Science & AI, Faculty Members — 03/02/2025Enzo Tartaglione is trying to develop more energy-efficient Deep Learning models.
Ghaya Rekaya wins a Women TechEU grant! [update]
Faculty Members, Start-up — 17/01/2025This prestigious recognition highlights Ghaya and Mimopt Technology's commitment to a more diverse and inclusive [...]
EMOOCs 2025 at Télécom Paris, June 30 to July 2
Data Science & AI — 14/01/2025Bringing together leading researchers, practitioners, and experts from around the globe to explore cutting-edge topics in [...]
