Studiengang Informatik (M. Sc.)

Content of FKS'22

• Functional characteristics of communication
  systems

• Principles of Communication
  (Principles, physical layers, models, safety & security aspects in
  communication)
• Different
  communications media/approaches in electronics
• Software based
  communication in machines

• Non-functional aspect

• Timing
  characteristics and analysis methods in communication systems

• Practice of Communication systems

• Communication
  protocols in vehicles (e.g. CAN, Ethernet)
• Communication in
  AUTOSAR Control Units
• Safety in
  Vehicle Communication
• Security in
  Vehicle Communication
• Gateways in
  Vehicle Communication

This course is about the analysis, classification and modelling of noisy, non-deterministic signals, with a particular emphasis on biosignals. The methodological focus is put on linear and non-parametric models. The practical part (lab exercises) will be implemented in MATLAB. Prerequisites to this course comprise: Fourier Transform for time-discrete signals (DTFT), Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), basic digital filter design (Fourier design). Video lectures are provided for some of these prerequisites. (Note: These videos are in German, though.)

Overview:

• acquisition, quantisation, discretisation of biosignals
• statistical signal parameters
• filter design methods, optimal filters, adaptive filters
• parametric and non-parametric spectral analysis
• Time – Frequency – Analysis (short term Fourier Analysis, Wigner-Ville Distribution, Cohen's class distributions)
• Methods of Blind Source Separation (Principal Component Analysis, Independent Component Analysis)
• classification of signals / signal sections

Die Vorlesung beginnt am 5.10.2021 in Präsenz. Bitte beachten Sie die neue Modulbeschreibung im Modulhandbuch und die Hinweise dort zu notwendigen Vorkenntnissen.

Die Zugangsdaten zu diesem Moodle-Kurs werden in der ersten Vorlesung bekannt gegeben.