The CSN team is a research group focusing on the study, design, implementation and optimization of digital and mixed signal systems. The proposed original methods and systems are implemented on FPGA or ASIC targets. The application fields encompass digital communication systems, software defined radio, artificial intelligence, IoT and embedded systems in general.
Algorithms and architectures for digital communication systems
This research topic focuses on the design and optimization of algorithms for digital communications with a view toward optimized hardware and software implementations. Various components of the communication chain are addressed, notably channel coding, advanced modulation, detection and estimation stages. The hardware architectures developed are prototyped on FPGAs or evaluated on ASIC technologies. Optimized software implementations are created for different targets (x86, ARM, RISC-V). Several complete communication chains have been developed and deployed on software-defined radios (DVB-S2, DVB-RCS, 5G).
Current Ph.D. students
Ian FISCHER-SCHILLING, Alexandre VALADE, Afaf ALAOUI MRANI
Developed tools
Design and optimization of computing systems
This research topic specializes in the design and optimization of modern computing systems, with a focus on emerging paradigms in hardware design, embedded systems, and computing efficiency. This work spans a wide range of topics, with applications in both general-purpose and domain-specific computing. The group’s efforts contribute to enhancing performance, energy efficiency, and security in modern computing architectures, with a focus on RISC-V-based systems.
Current Ph.D. students
Maxime GRAS-CHEVALIER, Filipe POUGET, Mélissa PAOLONE, Jonathan SAUSSEREAU
Developed tools
ASTERISC, ODATIX
Design of mixed signal systems
This research topic is dedicated to the design and optimization of mixed-signal systems, focusing on the interplay between analog and digital domains to overcome traditional challenges in analog circuit design. Their work emphasizes the use of digital techniques to compensate for non-idealities in analog circuits, thereby improving performance, efficiency, and scalability. Specific areas of interest include digital compensation for analog circuits such as power amplifiers (PAs) and analog-to-digital converters (ADCs), as well as the design of direct digital synthesizers (DDS).
Current Ph.D. students
Pierre AMBLARD, Stanislas DUBOIS, Clément DUFOSSEE, Estevan TU, Soazig LE BIHAN,
