Electronics

Director: Michel Jézéquel
Email: michel.jezequel@imt-atlantique.fr

Assistant: Catherine Blondé
tel : 02 29 00 14 95
Email: catherine.blonde@imt-atlantique.fr

The Electronics department employs modern means for the design of electronic parts for teaching and research purposes.  We have the best IT tools (CAO) and measuring equipment available to provide engineering students with training suited to the realities of micro-electronics.

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Research in the Electronics Department

The Electronics Department carries out its research as part of the Interaction Algorithm-Silicium (IAS) team. Developing new digital communication algorithms and researching original circuit architectures (both digital and analogue), associated with practical testing, lie at the the heart of this department's research. A scientific approach relies on a strong interaction between algorithmic skills, and digital and analogue circuit design skills.  All this is under-girded by experimental expertise. Currently the best-known result of this approach is quite clearly the invention of turbo codes, the first of which was patented by Claude Berrou 20 years ago.  This invention revolutionised the area of digital communication by opening up possibilities which are far from exhausted today. The team, which is strongly focussed on these themes, enjoys international recognition in this area, and has won several international prizes, such as the Hamming Medal (IEEE) 2003, the Marconi Prize 2005 and the Glavieux Prize (IEEE/SEE) 2009.
The Electronics Department contributes to activities of:
- the CNRS Lab-STICC,
 - the Advanced Communications Research Hub (PRACOM),
 - and the ERC "NEUCOD" project.


The four areas of research

The IAS team's work draws on four skills required for this interaction:

  • A good understanding of digital communications algorithms.
  • A thorough knowledge of the digital hardware and software architectures necessary for implementing these algorithms.
  • A thorough knowledge of analogue mixed circuit design techniques if part of the procedure is to be carried out analogically. In this case, a good understanding of all the physical phenomena linked to technological development is necessary in order to counter the relevant undesirable effects.
  • Modelling and propagation channel characterisation skills for testing new algorithms on realistic channel models and passing on pertinent data on the channels to the algorithmists, so they can increase viability and optimise spectral efficiency of the systems.

These four skills organise the basic structure of the team into four research areas: Algorithms, Architectures, Circuits and Experimentation.