OPTIMISATION ET APPRENTISSAGE

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    In brief

  • ECTS credits : 5
  • Code : N8EN14

Objectives

The objective of this course is to give an overview of the methods and formal tools related to the design of adaptive and/or distributed algorithms, as well as to the optimization of the parameters of a telecommunication system or in networks, generally using a learning function of the system state.
In this context, several points will be addressed:
1/Adaptive and distributed algorithms: LMS/RLS algorithms, stochastic gradient based methods. Application to adaptive signal processing and sensor networks.

2/Optimization for telecommunications: nonlinear programming with constraints, convex programming, dynamic programming, heuristic methods: application to resource allocation and scheduling;

3/Detection, Classification and Learning: blind detection, classification principles in telecommunications, neural learning methods, reinforcement learning and decision markov processes.

4/Modeling

Bibliography

VHDL - langage, modélisation, synthèse (R. AIRIAU et al. - Presses Polytechniques et Universitaires Romandes)

Organization

Contact(s)

POULLIAT CHARLY

Contact

The National Institute of Electrical engineering, Electronics, Computer science,Fluid mechanics & Telecommunications and Networks

2, rue Charles Camichel - BP 7122
31071 Toulouse Cedex 7, France

+33 (0)5 34 32 20 00

Certifications

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