Inhalt

[ 489WSNTASCK22 ] KV Advanced Digital Communications

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M - Master's programme (*)Informationselektronik Werner Haselmayr 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Electronics and Information Technology 2025W
Learning Outcomes
Competences
Students know and understand advanced concepts in digital communications qualitatively and mathematically. They are able to apply this knowledge to implement and analyze these concepts using Matlab.
Skills Knowledge
Students are able to

  • understand and implement channel estimation techniques (k2,k3)
  • understand and implement channel coding techniques (k2,k3)
  • understand and implement iterative detection methods (k2, k3)
  • understand an implement machine-learning-based receivers (k2,k3)
  • analyze the error performance of a communication system and compare it with benchmarks (k4)
  • understand the factor graph framework for unified iterative receiver design (k2)
  • (Non-)Iterative least-square channel estimation
  • Channel Coding: Block codes, convolutional codes, LDPC codes, turbo codes
  • Iterative (Turbo) detection
  • Machine-learning-based equalization
  • Factor graph framework
Criteria for evaluation Implementation, report and final oral exam
Methods Ex-cathedra and project-based teaching
Language German, if desired English
Study material Lecture slides and Matlab framework
Changing subject? No
On-site course
Maximum number of participants -
Assignment procedure Assignment according to sequence