It is planned to give the course in period 1 (HT23) if there is sufficient interest at the first lecture. 

The course provides the theoretical background of the methods and principles used in modern digital communication systems. Detection and modulation theoretic aspects are the main focus, i.e., a comprehensive study of hypothesis testing, Gaussian stochastic processes, concept of sufficient statistics and matched filters. The emphasis is to provide a rigorous mathematical framework, optimization criteria, and models which are suitable for digital communication problems. Further, problem solving skills in related topics should be trained. The intention is to deepen existing knowledge on digital communication rather than to broaden. "This course is absolutely relevant for any student aiming to do research in communications" (cited from Course Feedback 2012)