[ 289SISYSIVU20 ] UE Signal Processing

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Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS B2 - Bachelor's programme 2. year (*)Informationselektronik Oliver Lang 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Electronics and Information Technology 2022W
Objectives Students know and understand the basics of discrete-time signals and systems qualitatively and mathematically and can apply them to fundamental problems. They are able to

  • plot discrete-time signals in time- and frequency domain,
  • derive the spectrum of a signal numerically with the help of the DFT and the FFT,
  • describe the behavior of discrete-time LTI systems in time- and frequency domain as well as with the help of state space models,
  • analyze and design digital FIR and IIR filters,
  • apply the correlation operation.

Students know and understand the sampling theorem. They know and understand the z-transform, and are able to apply this method to describe discrete-time signals and systems, and to use it to solve linear difference equations with constant coefficients. They know and understand the basics of time-frequency analysis and the basics of multirate signal processing.

  • Discrete-time signals and the discrete time Fourier transform
  • Discrete-time LTI systems
  • Sampling theorem and signal reconstruction
  • Correlation
  • DFT and FFT
  • Time-frequency analysis
  • z-Transform
  • Digital filters (analysis and design of FIR and IIR filters)
  • State space representations of dynamic systems
  • Vector- matrix representations of discrete-time signals and systems
  • Basics of multirate signal processing
Criteria for evaluation Exercises at home
Methods Presentation of examples by lecturer, Matlab-exercises, exercises at home
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
Corresponding lecture (*)289SISYZSSU14: UE Zeitdiskrete Signale und Systeme (1,25 ECTS)
On-site course
Maximum number of participants 35
Assignment procedure Assignment according to sequence