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The Department of Signal Processing and Electronic Systems consists of 22 faculty and staff, typically 20 PhD Students and 3 post-doctorate colleagues. An invited professor, Alfred Hero, from the University of Michigan has joined us till 2008, within the Chair of Excellence of DIGITEO. The department has a specific value added with collaborative research actions between information and signal processing and electronic systems design.


Mathematical methods for Signal Processing and general Electronic Design methods and tools (for circuits and micro-systems) represent the core teaching and research activities and the main focus of industrial R&D contracts. The Department of Signal Processing and Electronic Systems mainly contributes to the teaching in signal processing, analog and digital electronics, numerical methods, statistics and optimization.

The Department proposes the following transferable skills in the framework of industrial R&D contracts :

  • Digital Signal Processing, Time–Frequency and Time-Scale Analysis, Kalman Filtering, Adaptive Filtering, High Resolution Methods ;

  • Statistical Methods for Quantitative Evaluation and for Uncertainties Propagation ;

  • Black-box modeling for optimum design of complex systems ;

  • Inverse Problems, Multi-Sensors Systems Optimization ;

  • Physical Modeling (Micro-sensors, Non Destructive Evaluation…) using Finite Elements Methods or Multi-Technology Simulation ;

  • Mixed Mode (A/D and D/A), Mixed Technology Modeling/Simulation (VHDL or VHDL-AMS…) ;

  • Multi-processor Architectures for Signal Processing ;

  • Design (FPGA, ASIC…), Instrumentation, Data Logging…


The different research themes have common goals, like robust system modeling (to avoid extreme system behaviors), like uncertainty management within multi-physical systems (such as MEMS) and multi-scale systems (such as electronics systems built upon numerous sub-systems). Generic tools, developed and commonly used by the research team, come from applied mathematics (such as information and signal processing, numerical analysis, decision theory, probabilities, statistics). The research outputs have been applied to various application fields like : physical systems modeling for safety monitoring; genes classification from DNA micro-arrays data and regulatory pathways inference ; hybrid filter banks design for software radio applications.

The Department research highlights are :

  • Statistical information processing.

  • Singular sampling and signal processing.

  • Architectures of mixed-signal integrated circuits and microsystems.

  • Digitization systems.