Goals

The development of communication and information processing systems is based on an ever-increasing appropriation of advanced signal processing methods derived from information theory. The aim of this advanced course is to complement the signal processing course taught in the first year by introducing the essential elements of information theory. It enables engineering students to discover a definition of the concept of information and to acquire a set of advanced tools for its modelling, coding and transmission through a communication channel.

Programme

  1. From signal to information and vice-versa
  2. Elements of information theory
  3. Sources: model, entropy and coding
  4. Channel: model, capacity and coding

Sustainable development

Level 1: Activity contextualised through environmentally sustainable development and social responsibility and/or supported by examples, exercises, applications.

DD&RS level 1

Activity contextualised through environmentally sustainable development and social responsibility and/or supported by examples, exercises, applications.

Programme elements related to sustainable development goals

Information theory contributes to a number of sustainable development objectives. Source coding (information compression) is at the heart of storage space and cost issues. Channel coding leads to a reduction in the energy consumed by our communications.

Autonomy
12h
 
Course
12h
 
TC
14h
 
PW
6h
 

Code

25_I_G_S07_STI_A_4EG

Responsibles

  • Julien HUILLERY
  • Laurent BAKO

Language

French

Keywords

Random processes, Digital modulations, Information theory, Entropy of a source, Capacity of a channel, Coding theorems, Compression, Errors correcting codes.