The enumerative shaping for optical communications project studies sphere shaping of multidimensional constellations employing enumerative techniques.
This project studies fundamental questions regarding data transmission in the nonlinear optical channel, including for example, the maximum amount of information that optical fibres can carry in the highly nonlinear regime.
The project studies multi-dimensional modulation formats to increase the capacity of optical communication systems based on an information-theoretic approach.
The project studies accurate channel models for the nonlinear optical channel in the high-power regime and novel coded modulation transceivers tailored to the nonlinear optical channel.
We are looking for enthusiastic candidates who are passionate to perform research in communication and information theory applied to sensing and communications.
We are looking for enthusiastic candidates who are passionate to perform research in communication and information theory applied to fiber optical communication.
For students with a electrical engineering, computer science, mathematics and physics backgroup, we have a intership/master project with ASML D&E YieldStar Algorithms and Physical Modeling group
This track has an emphasis on the applications of machine learning techniques in forward error correction.
This track has an emphasis on the use of machine learning for biomedical diagnosis.
This track has an emphasis on data transmission and machine learning.
Eighth Van Der Meulen Seminar having as topic “Neural Networks in Communication Systems”
Welcome to the Eindhoven Workshop on Optical Communications (EWOC), 8-10, April, 2018