[ 289SISYSIVV20 ] VL Signal Processing

Workload Education level Study areas Responsible person Hours per week Coordinating university
4,5 ECTS B2 - Bachelor's programme 2. year (*)Informationselektronik Mario Huemer 3 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Electronics and Information Technology 2020W
Objectives Basic understanding of discrete-time signals and systems.
  • Discrete-time signals and the discrete time Fourier transform
  • Discrete-time LTI systems
  • Sampling theorem and signal reconstruction
  • z-Transform
  • Digital filters
  • State space representations of dynamic systems
  • DFT and FFT
  • Time-frequency analysis
  • Vector- matrix representations of discrete-time signals and systems
Criteria for evaluation Written exam
Methods Lecture, Matlab based presentations
Language German
Study material
  • Lecture slides
  • A.V. Oppenheim, R.W. Schafer, J.R. Buck, Zeitdiskrete Signalverarbeitung, Pearson, München, 2004.
  • K.D. Kammeyer, K. Kroschel, Digitale Signalverarbeitung, Vieweg + Teubner, Wiesbaden, 2009.
  • D. Ch. von Grünigen, Digitale Signalverarbeitung, Hanser, München, 2008.
Changing subject? No
On-site course
Maximum number of participants -
Assignment procedure Assignment according to sequence