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Topic Course title Coordinator Hours ECTS
mandatory /
optional
Physics
Refresher: Physics of Optoelectronic
Devices
Didier Erasme 20 2
Information Refresher: Digital Communications
Philippe Ciblat;
Ghaya Rekaya-
Ben Othman
20 2
Networks Refresher: Communication Networks
Mounia Lourdiane,
Cédric Ware
20 2
Physics Optoelectronic Devices Adel Bousseksou 40 4 mandatory
Physics Photonic Integration Functions Nicolas Dubreuil 30 3
Physics Advanced Photonics Nicolas Dubreuil 30 3
Physics Nanophotonics Delphine Morini 30 3
Information Digital Information Processing
Philippe Ciblat;
Ghaya Rekaya-
Ben Othman
30 3 mandatory
Information
Error-Correcting Codes and Coded
Codulations Applied to Optical
Communications
Frederic Lehmann,
Antoine Berthet
20 2 mandatory
Transmission
Optical Information Propagation and Point-
to-Point Transmission Systems
Yann Frignac 30 3 mandatory
Transmission
Advanced and Next-Generation Optical
Transmission Systems
Yann Frignac 20 2 mandatory
Networks Optical Networks
Mounia Lourdiane,
Cédric Ware
40 4 mandatory
Networks Future Trends in Optical Networks
Mounia Lourdiane,
Cédric Ware
20 2 mandatory
all
Photonic Systems Towards Other
Applications
Nicolas Dubreuil 30 3 mandatory
all Second-semester Internship 30 mandatory
3 ECTS mandatory
out of 9
4 ECTS mandatory
out of 6
Refresher: Digital Communications Semester 1
Contributes to M2 ROSP
Course director: Prof. Philippe Ciblat (Telecom ParisTech)
Course teachers: Prof. Antoine Berthet (Supelec)
Prof. Philippe Ciblat (Telecom ParisTech)
Dr. Frédéric Lehmann (Telecom SudParis)
Prof. Ghaya Rekaya-Ben Othman (Telecom ParisTech)
Volume: 20 hours 2 ects
Period:
Assessment: Final exam
Language of tuition: English or French
Course Objectives: The objective of this refresher course is to provide the fundamental tools of digital communi-
cations in the simplest case given by the Additive White Gaussian Noise channel.
Course Prerequisites:
Introduction to digital communications (modulation BPSK, threshold detector)
Introduction to statistics (random variable, random stationary process)
Syllabus
Additive White Gaussian Noise (AWGN) model
Detection theory : MAP and ML detector
Matched filter, Threshold detector
Inter-Symbol Interference (ISI), Nyquist criterion
Bit error rate, minimal distance, performance
Block Forward Error Correcting codes (FEC), Coding gain
On completion of the course students should be able to:
design an optimal coherent receiver
know the relationship between fundamentals parameters (such as bandwidth, power, etc)
understand the principle of an error correcting codes
Textbooks/bibliography:
D. Tse, “Fundamentals of wireless communications”.
A. Goldsmith, “Wireless communications”.
J. Proakis, “Digital communications”.
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